diff options
28 files changed, 3072 insertions, 133 deletions
diff --git a/additional_ipython/quickref.tex b/additional_ipython/quickref.tex index a0212b3..1616316 100644 --- a/additional_ipython/quickref.tex +++ b/additional_ipython/quickref.tex @@ -1,11 +1,15 @@ -Creating a tuple:\\ -{\ex \lstinline| t = (1, "hello", 2.5)|} +accessing history:\\ +{\ex \lstinline| \%hist|} -Accessing elements of tuples:\\ -{\ex \lstinline| t[index] Ex: t[2]|} +accessing particular line of history:\\ +{\ex \lstinline| \%hist line_number|} -Accessing slices of tuples:\\ -{\ex \lstinline| t[start:stop:step]|} +accessing particular range of history:\\ +{\ex \lstinline| \%hist start_line stop_line|} + +saving history to a file:\\ +{\ex \lstinline| \%save file_path line_numbers|} + +running a script:\\ +{\ex \lstinline| \%run -i file_path|} -Swapping values:\\ -{\ex \lstinline| a, b = b, a|} diff --git a/dictionaries/script.rst b/dictionaries/script.rst index 63fca2a..31bc98e 100644 --- a/dictionaries/script.rst +++ b/dictionaries/script.rst @@ -35,6 +35,8 @@ Before we can proceed, start your IPython interpreter with the {{{ start ipython interpreter by issuing command ipython -pylab }}} +{{{ switch to next slide, Creating dictionary }}} + Let us start by creating an empty dictionary, type the following in your IPython interpreter. :: @@ -74,6 +76,8 @@ in the interpreter to see the content of the dictionary. Notice that in dictionaries the order cannot be predicted and you can see that the values are not in the order that we entered in. +{{{ switch to next slide, accessing elements }}} + Like in lists, the elements in a dictionary can be accessed using the index, here the index is the key. Try, :: @@ -153,14 +157,16 @@ It returned the ``list`` of values in the dictionary. exercise }}} Now let us try to print the data in the dictionary. We can use ``for`` -loop to iterate. +loop to iterate. Pause here and try to do it yourself. + +It can be solved as, :: for each in extensions.keys(): print each, "-->", extensions[each] -{{{ switch to next slide, recap }}} +{{{ switch to next slide, summary }}} This brings us to the end of this tutorial, we learned dictionaries and saw how to create an empty dictionary, build a dictionary with diff --git a/dictionaries/slides.org b/dictionaries/slides.org new file mode 100644 index 0000000..7ad28db --- /dev/null +++ b/dictionaries/slides.org @@ -0,0 +1,117 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Dictionaries +#+AUTHOR: FOSSEE +#+EMAIL: info@fossee.in +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Creating dictionaries + - empty dictionaries + - with data + - Keys and values + - Checking for elements + - Iterating over elements + +* Overview of Dictionaries + - A dictionary contains meaning of words + - /Word/ is the /key/ here. + - /Meaning/ is the /value/ here. + - A Key-Value pair data structure + - Provide key-value mappings + +* Creating dictionary + - Empty dictionary + - ~mt_dict = {}~ + - ~[]~ - lists + - ~{}~ - dictionaries + - With data + #+begin_src python + extensions = {'jpg' : 'JPEG Image', + 'py' : 'Python script', + 'html' : 'Html document', + 'pdf' : 'Portable Document Format'} + #+end_src + + *Note* - ordering in dictionaries cannot be relied on +* Accessing Elements + - syntax + : extensions[key] + + : In []: print extensions['jpg'] + : Out []: JPEG Image + : In []: print extensions['zip'] +* Adding and Deleting values + - Adding a new value + : In []: extension['cpp'] = 'C++ code' + adds a new key /cpp/ with /C++ code/ as value + - Deleting values + : In []: del extensions['pdf'] + deletes the key-value pair identified by /pdf/ + - Changing value associated with a key + : In []: extension['cpp'] = 'C++ source code' + changes the value of the existing key +* Checking for container-ship of keys + : In []: 'py' in extensions + : Out []: True + Returns *True* if the /key/ is found. + : In []: 'odt' in extensions + : Out []: False + Returns *False* if the /key/ is not found. + +* Retrieve keys and values + - ~.keys()~ method + : In []: extensions.keys() + Returns a list of keys in the dictionary. + - ~.values()~ method + : In []: extensions.values() + Returns the list of values in the dictionary. +* Exercise 1 + Print the keys and values in the dictionary one by one. +* Summary + - Creating dictionaries + - empty dictionaries + - with data + - ~.keys()~ method + - ~.values()~ method + - Iterating over dictionaries +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/dictionaries/slides.tex b/dictionaries/slides.tex new file mode 100644 index 0000000..2a65377 --- /dev/null +++ b/dictionaries/slides.tex @@ -0,0 +1,229 @@ +% Created 2010-10-11 Mon 23:02 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Dictionaries} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Creating dictionaries + +\begin{itemize} +\item empty dictionaries +\item with data +\end{itemize} + +\item Keys and values +\item Checking for elements +\item Iterating over elements +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Overview of Dictionaries} +\label{sec-2} + +\begin{itemize} +\item A dictionary contains meaning of words + +\begin{itemize} +\item \emph{Word} is the \emph{key} here. +\item \emph{Meaning} is the \emph{value} here. +\end{itemize} + +\item A Key-Value pair data structure + +\begin{itemize} +\item Provide key-value mappings +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Creating dictionary} +\label{sec-3} + +\begin{itemize} +\item Empty dictionary + +\begin{itemize} +\item \texttt{mt\_dict = \{\}} + +\begin{itemize} +\item \texttt{[]} - lists +\item \texttt{\{\}} - dictionaries +\end{itemize} + +\end{itemize} + +\item With data +\begin{verbatim} +extensions = {'jpg' : 'JPEG Image', + 'py' : 'Python script', + 'html' : 'Html document', + 'pdf' : 'Portable Document Format'} +\end{verbatim} + + \textbf{Note} - ordering in dictionaries cannot be relied on +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Accessing Elements} +\label{sec-4} + +\begin{itemize} +\item syntax +\begin{verbatim} + extensions[key] +\end{verbatim} + +\end{itemize} + + +\begin{verbatim} + In []: print extensions['jpg'] + Out []: JPEG Image + In []: print extensions['zip'] +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Adding and Deleting values} +\label{sec-5} + +\begin{itemize} +\item Adding a new value +\begin{verbatim} + In []: extension['cpp'] = 'C++ code' +\end{verbatim} + + adds a new key \emph{cpp} with \emph{C++ code} as value +\item Deleting values +\begin{verbatim} + In []: del extensions['pdf'] +\end{verbatim} + + deletes the key-value pair identified by \emph{pdf} +\item Changing value associated with a key +\begin{verbatim} + In []: extension['cpp'] = 'C++ source code' +\end{verbatim} + + changes the value of the existing key +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Checking for container-ship of keys} +\label{sec-6} + +\begin{verbatim} + In []: 'py' in extensions + Out []: True +\end{verbatim} + + Returns \textbf{True} if the \emph{key} is found. +\begin{verbatim} + In []: 'odt' in extensions + Out []: False +\end{verbatim} + + Returns \textbf{False} if the \emph{key} is not found. +\end{frame} +\begin{frame}[fragile] +\frametitle{Retrieve keys and values} +\label{sec-7} + +\begin{itemize} +\item \texttt{.keys()} method +\begin{verbatim} + In []: extensions.keys() +\end{verbatim} + + Returns a list of keys in the dictionary. +\item \texttt{.values()} method +\begin{verbatim} + In []: extensions.values() +\end{verbatim} + + Returns the list of values in the dictionary. +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 1} +\label{sec-8} + + Print the keys and values in the dictionary one by one. +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-9} + +\begin{itemize} +\item Creating dictionaries + +\begin{itemize} +\item empty dictionaries +\item with data +\end{itemize} + +\item \texttt{.keys()} method +\item \texttt{.values()} method +\item Iterating over dictionaries +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-10} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/getting-started-with-arrays/script.rst b/getting-started-with-arrays/script.rst index eb9ba80..6ef35a0 100644 --- a/getting-started-with-arrays/script.rst +++ b/getting-started-with-arrays/script.rst @@ -71,6 +71,8 @@ And how can we make it a two dimensional array of order 2 by 4. Pause here and try to do it yourself, try ``ar.tab`` and find a suitable method for that. +{{{ switch to next slide, reshape() method }}} + We can use the function ``reshape()`` for that purpose and it can be done as, :: @@ -79,6 +81,8 @@ done as, ar.reshape(4,2) ar = ar.reshape(2,4) +{{{ switch to next slide, creating array from list}}} + Now, let us see how to convert a list object to an array. As you have already seen, in both of the previous statements we have passed a list, so creating an array can be done so, first let us create a list @@ -110,7 +114,7 @@ array, it returned a tuple (4,). {{{ switch to the next slide, unsolved exercise 2 }}} -Find out the shape of the other two arrays that we have created. +Find out the shape of the other arrays that we have created. {{{ Array can have only a single type of data }}} @@ -129,6 +133,8 @@ the values in the new array created. In your IPython terminal type, Did you notice it, +{{{ switch to next slide, implicit type casting }}} + {{{ highlight all the array elements one by one using mouse movements }}} @@ -226,7 +232,7 @@ Returns an array with element by element addition, Returns an array with element by element multiplication, notice that it does not perform matrix multiplication. -{{{ switch to next slide, recap slide }}} +{{{ switch to next slide, summary slide }}} So this brings us to the end of this tutorial, in this tutorial we covered basics of arrays, how to create an array, converting a list to diff --git a/getting-started-with-arrays/slides.org b/getting-started-with-arrays/slides.org new file mode 100644 index 0000000..ba97f3c --- /dev/null +++ b/getting-started-with-arrays/slides.org @@ -0,0 +1,132 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Getting started with arrays +#+AUTHOR: FOSSEE +#+EMAIL: info@fossee.in +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Arrays + - why arrays over lists + - Creating arrays + - Array operations + +* Overview of Arrays + - Arrays are homogeneous data structures. + - elements have to the same data type + - Arrays are faster compared to lists + - at least /80-100 times/ faster than lists + +* Creating Arrays + - Creating a 1-dimensional array + : In []: a1 = array([1, 2, 3, 4]) + - Creating a 2-dimensional array + : In []: a2 = array([[1,2,3,4],[5,6,7,8]]) + - Easier method of creating array with consecutive elements. + : In []: ar = arange(1,9) +* ~reshape()~ method + - To reshape an array + : In []: ar.reshape(2, 4) + : In []: ar.reshape(4, 2) + : In []: ar = ar.reshape(2, 4) + +* Creating ~array~ from ~list~. + - ~array()~ method accepts list as argument + - Creating a list + : In []: l1 = [1, 2, 3, 4] + - Creating an array + : In []: a3 = array(l1) + +* Exercise 1 + Create a 3-dimensional array of the order (2, 2, 4). + +* ~.shape~ of array + - ~.shape~ + To find the shape of the array + : In []: a1.shape + - ~.shape~ + returns a tuple of shape +* Exercise 2 + Find out the shape of the other arrays(a2, a3, ar) that we have created. +* Homogeneous data + - All elements in array should be of same type + : In []: a4 = array([1,2,3,'a string']) +* Implicit type casting + : In []: a4 + All elements are type casted to string type +* ~identity()~, ~zeros()~ methods + - ~identity(n)~ + Creates an identity matrix, a square matrix of order (n, n) with diagonal elements 1 and others 0. + - ~zeros((m, n))~ + Creates an ~m X n~ matrix with all elements 0. + +* Learning exercise + - Find out about + - ~zeros_like()~ + - ~ones()~ + - ~ones_like()~ + +* Array operations + - ~a1 * 2~ + returns a new array with all elements of ~a1~ multiplied by ~2~. + - Similarly ~+~, ~-~ \& ~/~. + - ~a1 + 2~ + returns a new array with all elements of ~a1~ summed with ~2~. + - ~a1 += 2~ + adds ~2~ to all elements of array ~a1~. + - Similarly ~-=~, ~*=~ \& ~/=~. + - ~a1 + a2~ + does elements-wise addition. + - Similarly ~-~, ~*~ \& ~/~. + - ~a1 * a2~ + does element-wise multiplication + + *Note* - array(A) * array(B) does element wise multiplication and not matrix multiplication + +* Summary + In this tutorial we covered, + - Basics of arrays + - Creating arrays + - Arrays from lists + - Basic array operations + +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/getting-started-with-arrays/slides.tex b/getting-started-with-arrays/slides.tex new file mode 100644 index 0000000..63a0790 --- /dev/null +++ b/getting-started-with-arrays/slides.tex @@ -0,0 +1,277 @@ +% Created 2010-10-12 Tue 00:20 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Getting started with arrays} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Arrays + +\begin{itemize} +\item why arrays over lists +\end{itemize} + +\item Creating arrays +\item Array operations +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Overview of Arrays} +\label{sec-2} + +\begin{itemize} +\item Arrays are homogeneous data structures. + +\begin{itemize} +\item elements have to the same data type +\end{itemize} + +\item Arrays are faster compared to lists + +\begin{itemize} +\item at least \emph{80-100 times} faster than lists +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Creating Arrays} +\label{sec-3} + +\begin{itemize} +\item Creating a 1-dimensional array +\end{itemize} + +\begin{verbatim} + In []: a1 = array([1, 2, 3, 4]) +\end{verbatim} + +\begin{itemize} +\item Creating a 2-dimensional array +\end{itemize} + +\begin{verbatim} + In []: a2 = array([[1,2,3,4],[5,6,7,8]]) +\end{verbatim} + +\begin{itemize} +\item Easier method of creating array with consecutive elements. +\end{itemize} + +\begin{verbatim} + In []: ar = arange(1,9) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{reshape()} method} +\label{sec-4} + +\begin{itemize} +\item To reshape an array +\end{itemize} + +\begin{verbatim} + In []: ar.reshape(2, 4) + In []: ar.reshape(4, 2) + In []: ar = ar.reshape(2, 4) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Creating \texttt{array} from \texttt{list}.} +\label{sec-5} + +\begin{itemize} +\item \texttt{array()} method accepts list as argument +\item Creating a list +\begin{verbatim} + In []: l1 = [1, 2, 3, 4] +\end{verbatim} + +\item Creating an array +\begin{verbatim} + In []: a3 = array(l1) +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 1} +\label{sec-6} + + Create a 3-dimensional array of the order (2, 2, 4). +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{.shape} of array} +\label{sec-7} + +\begin{itemize} +\item \texttt{.shape} + To find the shape of the array +\begin{verbatim} + In []: a1.shape +\end{verbatim} + +\item \texttt{.shape} + returns a tuple of shape +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 2} +\label{sec-8} + + Find out the shape of the other arrays(a2, a3, ar) that we have created. +\end{frame} +\begin{frame}[fragile] +\frametitle{Homogeneous data} +\label{sec-9} + +\begin{itemize} +\item All elements in array should be of same type +\begin{verbatim} + In []: a4 = array([1,2,3,'a string']) +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Implicit type casting} +\label{sec-10} + +\begin{verbatim} + In []: a4 +\end{verbatim} + + All elements are type casted to string type +\end{frame} +\begin{frame} +\frametitle{\texttt{identity()}, \texttt{zeros()} methods} +\label{sec-11} + +\begin{itemize} +\item \texttt{identity(n)} + Creates an identity matrix, a square matrix of order (n, n) with diagonal elements 1 and others 0. +\item \texttt{zeros((m, n))} + Creates an \texttt{m X n} matrix with all elements 0. +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Learning exercise} +\label{sec-12} + +\begin{itemize} +\item Find out about + +\begin{itemize} +\item \texttt{zeros\_like()} +\item \texttt{ones()} +\item \texttt{ones\_like()} +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Array operations} +\label{sec-13} + +\begin{itemize} +\item \texttt{a1 * 2} + returns a new array with all elements of \texttt{a1} multiplied by \texttt{2}. + +\begin{itemize} +\item Similarly \texttt{+}, \texttt{-} \& \texttt{/}. +\end{itemize} + +\item \texttt{a1 + 2} + returns a new array with all elements of \texttt{a1} summed with \texttt{2}. +\item \texttt{a1 += 2} + adds \texttt{2} to all elements of array \texttt{a1}. + +\begin{itemize} +\item Similarly \texttt{-=}, \texttt{*=} \& \texttt{/=}. +\end{itemize} + +\item \texttt{a1 + a2} + does elements-wise addition. + +\begin{itemize} +\item Similarly \texttt{-}, \texttt{*} \& \texttt{/}. +\end{itemize} + +\item \texttt{a1 * a2} + does element-wise multiplication +\end{itemize} + + + \textbf{Note} - array(A) * array(B) does element wise multiplication and not matrix multiplication +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-14} + + In this tutorial we covered, +\begin{itemize} +\item Basics of arrays +\item Creating arrays +\item Arrays from lists +\item Basic array operations +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-15} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/getting-started-with-for/script.rst b/getting-started-with-for/script.rst index ce6e26c..9dc9db7 100644 --- a/getting-started-with-for/script.rst +++ b/getting-started-with-for/script.rst @@ -43,6 +43,11 @@ The best practice is to indent the code using four spaces. for indentation. Do that while typing so that they can actually see what is being typed. +As you can see in the slide, ``Block B`` is an inner block and it is +indented using 4 spaces, and after ``Block B`` the next statement in +``Block A`` starts from the same indentation level of other ``Block +A`` statements. + Now let us move straight into ``for`` loop. {{{ switch to next slide, problem statement of exercise 1 }}} @@ -85,6 +90,8 @@ following. square_roots. It is only complicating stuff. Simply iterate and print. +{{{ switch to next slide, save and run script }}} + {{{ save the script }}} Now save the script, and run it from your IPython interpreter. I @@ -151,6 +158,8 @@ Now let us try a simple one, to print the square root of numbers in the list. And this time let us do it right in the IPython interpreter. +{{{ switch to next slide, Indentation in ``ipython`` }}} + {{{ switch focus to the IPython interpreter }}} So let us start with making a list. Type the following @@ -166,11 +175,14 @@ dots. Please note that IPython automatically indents the block. The four dots tell you that you are inside a block. Now type the rest of the ``for`` loop, +{{{ switch to next slide, Indentation in ``ipython`` (cont'd) }}} + .. #[Nishanth]: Tell that IPython does auto indentation. :: - print "Square root of", each, "is", sqrt(each) + print "Square root of", each, + print "is", sqrt(each) Now we have finished the statements in the block, and still the interpreter is showing four dots, which means you are still inside the @@ -178,6 +190,8 @@ block. To exit from the block press return key or the enter key twice without entering anything else. It printed the square root of each number in the list, and that is executed in a ``for`` loop. +{{{ switch to next slide, Indentation in ``python`` interpreter }}} + Now, let us find the cube of all the numbers from one to ten. But this time let us try it in the vanilla version of Python interpreter. @@ -187,6 +201,9 @@ Start the vanilla version of Python interpreter by issuing the command {{{ open the python interpreter in the terminal using the command python to start the vanilla Python interpreter }}} +{{{ switch to next slide, Indentation in ``python`` interpreter +(cont'd) }}} + Start with, :: @@ -214,6 +231,8 @@ block, hit enter once again Then say this list can also be generated using the range function and hence introduce range. +{{{ switch to the next slide, ``range()`` function }}} + Okay! so the main thing here we learned is how to use Python interpreter and IPython interpreter to specify blocks. But while we were generating the multiplication table we used something new, @@ -225,12 +244,14 @@ specify will not be included in the ``list``. .. #[Nishanth]: Show some examples of range without the step argument May be give an exercise with negative numbers as arguments -Now, let us print all the odd numbers from 1 to 50. Let us do it in -our IPython interpreter for ease of use. - {{{ switch to next slide, problem statement of the next problem in solved exercises }}} +Now, let us print all the odd numbers from 1 to 50. Pause here and try +to solve the problem yourself. + +Let us do it in our IPython interpreter for ease of use. + {{{ switch focus to ipython interpreter }}} The problem can be solved by just using the ``range()`` function. @@ -248,7 +269,7 @@ the range. Note that the sequence doesn't include the ending number. The third parameter is for stepping through the sequence. Here we gave two which means we are skipping every alternate element. -{{{ switch to next slide, recap slide }}} +{{{ switch to next slide, summary slide }}} Thus we come to the end of this tutorial. We learned about blocks in Python, indentation, blocks in IPython, for loop, iterating over a diff --git a/getting-started-with-for/slides.org b/getting-started-with-for/slides.org new file mode 100644 index 0000000..51cb7ab --- /dev/null +++ b/getting-started-with-for/slides.org @@ -0,0 +1,146 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Getting started with for +#+AUTHOR: FOSSEE +#+EMAIL: +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - ~for~ loop in Python. + - Blocks of code in Python. + - Indentation +* Whitespace in Python + - Whitespace is significant + - blocks are visually separated + - Blocks are indented using 4 spaces + : Block A + : Block A + : Block B + : Block B + : Block A + ~Block B~ is an inner block and is indented using 4 spaces +* Exercise 1 + Write a ~for~ loop which iterates through a list of numbers and find + the square root of each number. + : + The numbers are, + : 1369, 7225, 3364, 7056, 5625, 729, 7056, + : 576, 2916 +* Solution 1 + - Open text editor and type the following code + #+begin_src python + numbers = [1369, 7225, 3364, 7056, 5625, 729, 7056, + 576, 2916] + + for each in numbers: + print "Square root of", each, "is", sqrt(each) + + print "This is not in for loop!" + #+end_src +* Save \& run script + - Save the script as ~list_roots.py~ + - Run in ~ipython~ interpreter as, + : In []: %run -i list_roots.py +* Exercise 2 + From the given numbers make a list of perfect squares and a list of those which are not. + : + The numbers are, + : 7225, 3268, 3364, 2966, 7056, 5625, 729, 5547, + : 7056, 576, 2916 +* Exercise 3 (indentation in ~ipython~) + Print the square root of numbers in the list. + : + Numbers are, + : 7225, 3268, 3364, 2966, 7056, 5625, 729, 5547, + : 7056, 576, 2916 +* Indentation in ~ipython~ + : In []: numbers = [1369, 7225, 3364, 7056, 5625, + : ...: 729, 7056, 576, 2916] + + : In []: for each in numbers: + : ...: + Note the four spaces here + : + : + : + : + : + : +* Indentation in ~ipython~ (cont'd) + : In []: numbers = [1369, 7225, 3364, 7056, 5625, + : ...: 729, 7056, 576, 2916] + : In []: for each in numbers: + : ...: + Note the four spaces here + : + Now type the rest of the code + : ...: print "Square root of", each, + : ...: print "is", sqrt(each) + : ...: + : ...: +* Indentation in ~python~ interpreter + Find out the cube of all the numbers from 1 to 10. + : + /do it in the python interpreter/ +* Indentation in ~python~ interpreter (cont'd) + #+begin_src python + >>> for i in range(1, 11): + ... print i, "cube is", i**3 + ... + #+end_src +* ~range()~ function + - in built function in Python + - generates a list of integers + - /syntax:/ range([start,] stop[, step]) + - /example:/ + - range(1, 20) - /generates integers from 1 to 20/ + - range(20) - /generates integers from 0 to 20/ +* Exercise 4 + Print all the odd numbers from 1 to 50. +* Summary + - blocks in ~python~ + - indentation + - blocks in ~ipython~ interpreter + - ~for~ loop + - iterating over list using ~for~ loop + - ~range()~ function +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/getting-started-with-for/slides.tex b/getting-started-with-for/slides.tex new file mode 100644 index 0000000..f6c1eaa --- /dev/null +++ b/getting-started-with-for/slides.tex @@ -0,0 +1,285 @@ +% Created 2010-10-12 Tue 12:55 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Getting started with for} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item \texttt{for} loop in Python. +\item Blocks of code in Python. + +\begin{itemize} +\item Indentation +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Whitespace in Python} +\label{sec-2} + +\begin{itemize} +\item Whitespace is significant + +\begin{itemize} +\item blocks are visually separated +\end{itemize} + +\item Blocks are indented using 4 spaces +\begin{verbatim} + Block A + Block A + Block B + Block B + Block A +\end{verbatim} + + \texttt{Block B} is an inner block and is indented using 4 spaces +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 1} +\label{sec-3} + + Write a \texttt{for} loop which iterates through a list of numbers and find + the square root of each number. +\begin{verbatim} + +\end{verbatim} + + The numbers are, +\begin{verbatim} + 1369, 7225, 3364, 7056, 5625, 729, 7056, + 576, 2916 +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Solution 1} +\label{sec-4} + +\begin{itemize} +\item Open text editor and type the following code +\end{itemize} + +\begin{verbatim} +numbers = [1369, 7225, 3364, 7056, 5625, 729, 7056, + 576, 2916] + +for each in numbers: + print "Square root of", each, "is", sqrt(each) + +print "This is not in for loop!" +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Save \& run script} +\label{sec-5} + +\begin{itemize} +\item Save the script as \texttt{list\_roots.py} +\item Run in \texttt{ipython} interpreter as, +\begin{verbatim} + In []: %run -i list_roots.py +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 2} +\label{sec-6} + + From the given numbers make a list of perfect squares and a list of those which are not. +\begin{verbatim} + +\end{verbatim} + + The numbers are, +\begin{verbatim} + 7225, 3268, 3364, 2966, 7056, 5625, 729, 5547, + 7056, 576, 2916 +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 3 (indentation in \texttt{ipython})} +\label{sec-7} + + Print the square root of numbers in the list. +\begin{verbatim} + +\end{verbatim} + + Numbers are, +\begin{verbatim} + 7225, 3268, 3364, 2966, 7056, 5625, 729, 5547, + 7056, 576, 2916 +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Indentation in \texttt{ipython}} +\label{sec-8} + +\begin{verbatim} + In []: numbers = [1369, 7225, 3364, 7056, 5625, + ...: 729, 7056, 576, 2916] +\end{verbatim} + + +\begin{verbatim} + In []: for each in numbers: + ...: +\end{verbatim} + + Note the four spaces here +\begin{verbatim} + + + + + + +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Indentation in \texttt{ipython} (cont'd)} +\label{sec-9} + +\begin{verbatim} + In []: numbers = [1369, 7225, 3364, 7056, 5625, + ...: 729, 7056, 576, 2916] + In []: for each in numbers: + ...: +\end{verbatim} + + Note the four spaces here +\begin{verbatim} + +\end{verbatim} + + Now type the rest of the code +\begin{verbatim} + ...: print "Square root of", each, + ...: print "is", sqrt(each) + ...: + ...: +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Indentation in \texttt{python} interpreter} +\label{sec-10} + + Find out the cube of all the numbers from 1 to 10. +\begin{verbatim} + +\end{verbatim} + + \emph{do it in the python interpreter} +\end{frame} +\begin{frame}[fragile] +\frametitle{Indentation in \texttt{python} interpreter (cont'd)} +\label{sec-11} + +\begin{verbatim} +>>> for i in range(1, 11): +... print i, "cube is", i**3 +... +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{\texttt{range()} function} +\label{sec-12} + +\begin{itemize} +\item in built function in Python +\item generates a list of integers + +\begin{itemize} +\item \emph{syntax:} range([start,] stop[, step]) +\item \emph{example:} + +\begin{itemize} +\item range(1, 20) - \emph{generates integers from 1 to 20} +\item range(20) - \emph{generates integers from 0 to 20} +\end{itemize} + +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 4} +\label{sec-13} + + Print all the odd numbers from 1 to 50. +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-14} + +\begin{itemize} +\item blocks in \texttt{python} +\item indentation +\item blocks in \texttt{ipython} interpreter +\item \texttt{for} loop +\item iterating over list using \texttt{for} loop +\item \texttt{range()} function +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-15} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/matrices/script.rst b/matrices/script.rst index fa30811..9b305d5 100644 --- a/matrices/script.rst +++ b/matrices/script.rst @@ -22,8 +22,10 @@ Welcome to the spoken tutorial on Matrices. {{{ switch to next slide, outline slide }}} -In this tutorial we will learn about matrices, creating matrices and -matrix operations. +In this tutorial we will learn about matrices, creating matrices using +direct data, by converting a list, matrix operations. Finding inverse +of a matrix, determinant of a matrix, eigen values and eigen vectors +of a matrix, norm and singular value decomposition of matrices. {{{ creating a matrix }}} @@ -70,6 +72,8 @@ Similarly, it does matrix subtraction, that is element by element subtraction. Now let us try, + +{{{ Switch to next slide, Matrix multiplication }}} :: m3 * m2 @@ -86,6 +90,8 @@ function ``multiply()`` multiply(m3,m2) +{{{ switch to next slide, Matrix multiplication (cont'd) }}} + Now let us see an example for matrix multiplication. For doing matrix multiplication we need to have two matrices of the order n by m and m by r and the resulting matrix will be of the order n by r. Thus let us @@ -106,11 +112,15 @@ in matrix object. {{{ switch to next slide, recall from arrays }}} -As we already saw in arrays, the functions ``identity()``, -``zeros()``, ``zeros_like()``, ``ones()``, ``ones_like()`` may also be -used with matrices. +As we already saw in arrays, the functions ``identity()`` which +creates an identity matrix of the order n by n, ``zeros()`` which +creates a matrix of the order m by n with all zeros, ``zeros_like()`` +which creates a matrix with zeros with the shape of the matrix passed, +``ones()`` which creates a matrix of order m by n with all ones, +``ones_like()`` which creates a matrix with ones with the shape of the +matrix passed. These functions can also be used with matrices. -{{{ switch to next slide, matrix operations }}} +{{{ switch to next slide, more matrix operations }}} To find out the transpose of a matrix we can do, :: @@ -120,9 +130,9 @@ To find out the transpose of a matrix we can do, Matrix name dot capital T will give the transpose of a matrix -{{{ switch to next slide, Euclidean norm of inverse of matrix }}} +{{{ switch to next slide, Frobenius norm of inverse of matrix }}} -Now let us try to find out the Euclidean norm of inverse of a 4 by 4 +Now let us try to find out the Frobenius norm of inverse of a 4 by 4 matrix, the matrix being, :: @@ -131,17 +141,17 @@ matrix, the matrix being, The inverse of a matrix A, A raise to minus one is also called the reciprocal matrix such that A multiplied by A inverse will give 1. The -Euclidean norm or the Frobenius norm of a matrix is defined as square -root of sum of squares of elements in the matrix. Pause here and try -to solve the problem yourself, the inverse of a matrix can be found -using the function ``inv(A)``. +Frobenius norm of a matrix is defined as square root of sum of squares +of elements in the matrix. Pause here and try to solve the problem +yourself, the inverse of a matrix can be found using the function +``inv(A)``. And here is the solution, first let us find the inverse of matrix m5. :: im5 = inv(m5) -And the euclidean norm of the matrix ``im5`` can be found out as, +And the Frobenius norm of the matrix ``im5`` can be found out as, :: sum = 0 @@ -166,11 +176,11 @@ The solution for the problem is, {{{ switch to slide the ``norm()`` method }}} -Well! to find the Euclidean norm and Infinity norm we have an even easier +Well! to find the Frobenius norm and Infinity norm we have an even easier method, and let us see that now. The norm of a matrix can be found out using the method -``norm()``. Inorder to find out the Euclidean norm of the matrix im5, +``norm()``. Inorder to find out the Frobenius norm of the matrix im5, we do, :: diff --git a/matrices/slides.org b/matrices/slides.org new file mode 100644 index 0000000..34caa29 --- /dev/null +++ b/matrices/slides.org @@ -0,0 +1,176 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Matrices +#+AUTHOR: FOSSEE +#+EMAIL: +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Creating Matrices + - using direct data + - converting a list + - Matrix operations + - Inverse of matrix + - Determinant of matrix + - Eigen values and Eigen vectors of matrices + - Norm of matrix + - Singular Value Decomposition of matrices + +* Creating a matrix + - Creating a matrix using direct data + : In []: m1 = matrix([1, 2, 3, 4]) + - Creating a matrix using lists + : In []: l1 = [[1,2,3,4],[5,6,7,8]] + : In []: m2 = matrix(l1) + - A matrix is basically an array + : In []: m3 = array([[5,6,7,8],[9,10,11,12]]) + +* Matrix operations + - Element-wise addition (both matrix should be of order ~mXn~) + : In []: m3 + m2 + - Element-wise subtraction (both matrix should be of order ~mXn~) + : In []: m3 - m2 +* Matrix Multiplication + - Matrix Multiplication + : In []: m3 * m2 + : Out []: ValueError: objects are not aligned + - Element-wise multiplication using ~multiply()~ + : multiply(m3, m2) + +* Matrix Multiplication (cont'd) + - Create two compatible matrices of order ~nXm~ and ~mXr~ + : In []: m1.shape + - matrix m1 is of order ~1 X 4~ + - Creating another matrix of order ~4 X 2~ + : In []: m4 = matrix([[1,2],[3,4],[5,6],[7,8]]) + - Matrix multiplication + : In []: m1 * m4 +* Recall from ~array~ + - The functions + - ~identity(n)~ - + creates an identity matrix of order ~nXn~ + - ~zeros((m,n))~ - + creates a matrix of order ~mXn~ with 0's + - ~zeros_like(A)~ - + creates a matrix with 0's similar to the shape of matrix ~A~ + - ~ones((m,n))~ + creates a matrix of order ~mXn~ with 1's + - ~ones_like(A)~ + creates a matrix with 1's similar to the shape of matrix ~A~ + Can also be used with matrices + +* More matrix operations + Transpose of a matrix + : In []: m4.T +* Exercise 1 : Frobenius norm \& inverse + Find out the Frobenius norm of inverse of a ~4 X 4~ matrix. + : + The matrix is + : m5 = matrix(arange(1,17).reshape(4,4)) + - Inverse of A, + - + #+begin_latex + $A^{-1} = inv(A)$ + #+end_latex + - Frobenius norm is defined as, + - + #+begin_latex + $||A||_F = [\sum_{i,j} abs(a_{i,j})^2]^{1/2}$ + #+end_latex + +* Exercise 2: Infinity norm + Find the infinity norm of the matrix ~im5~ + : + - Infinity norm is defined as, + #+begin_latex + $max([\sum_{i} abs(a_{i})^2])$ + #+end_latex +* ~norm()~ method + - Frobenius norm + : In []: norm(im5) + - Infinity norm + : In []: norm(im5, ord=inf) +* Determinant + Find out the determinant of the matrix m5 + : + - determinant can be found out using + - ~det(A)~ - returns the determinant of matrix ~A~ +* eigen values \& eigen vectors + Find out the eigen values and eigen vectors of the matrix ~m5~. + : + - eigen values and vectors can be found out using + : In []: eig(m5) + returns a tuple of /eigen values/ and /eigen vectors/ + - /eigen values/ in tuple + - ~In []: eig(m5)[0]~ + - /eigen vectors/ in tuple + - ~In []: eig(m5)[1]~ + - Computing /eigen values/ using ~eigvals()~ + : In []: eigvals(m5) +* Singular Value Decomposition (~svd~) + #+begin_latex + $M = U \Sigma V^*$ + #+end_latex + - U, an ~mXm~ unitary matrix over K. + - + #+begin_latex + $\Sigma$ + #+end_latex + , an ~mXn~ diagonal matrix with non-negative real numbers on diagonal. + - + #+begin_latex + $V^*$ + #+end_latex + , an ~nXn~ unitary matrix over K, denotes the conjugate transpose of V. + - SVD of matrix ~m5~ can be found out as, + : In []: svd(m5) +* Summary + - Matrices + - creating matrices + - Matrix operations + - Inverse (~inv()~) + - Determinant (~det()~) + - Norm (~norm()~) + - Eigen values \& vectors (~eig(), eigvals()~) + - Singular Value Decomposition (~svd()~) + +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/matrices/slides.tex b/matrices/slides.tex new file mode 100644 index 0000000..8e58583 --- /dev/null +++ b/matrices/slides.tex @@ -0,0 +1,357 @@ +% Created 2010-10-12 Tue 14:28 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Matrices} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Creating Matrices + +\begin{itemize} +\item using direct data +\item converting a list +\end{itemize} + +\item Matrix operations +\item Inverse of matrix +\item Determinant of matrix +\item Eigen values and Eigen vectors of matrices +\item Norm of matrix +\item Singular Value Decomposition of matrices +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Creating a matrix} +\label{sec-2} + +\begin{itemize} +\item Creating a matrix using direct data +\end{itemize} + +\begin{verbatim} + In []: m1 = matrix([1, 2, 3, 4]) +\end{verbatim} + +\begin{itemize} +\item Creating a matrix using lists +\end{itemize} + +\begin{verbatim} + In []: l1 = [[1,2,3,4],[5,6,7,8]] + In []: m2 = matrix(l1) +\end{verbatim} + +\begin{itemize} +\item A matrix is basically an array +\end{itemize} + +\begin{verbatim} + In []: m3 = array([[5,6,7,8],[9,10,11,12]]) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Matrix operations} +\label{sec-3} + +\begin{itemize} +\item Element-wise addition (both matrix should be of order \texttt{mXn}) +\begin{verbatim} + In []: m3 + m2 +\end{verbatim} + +\item Element-wise subtraction (both matrix should be of order \texttt{mXn}) +\begin{verbatim} + In []: m3 - m2 +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Matrix Multiplication} +\label{sec-4} + +\begin{itemize} +\item Matrix Multiplication +\begin{verbatim} + In []: m3 * m2 + Out []: ValueError: objects are not aligned +\end{verbatim} + +\item Element-wise multiplication using \texttt{multiply()} +\begin{verbatim} + multiply(m3, m2) +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Matrix Multiplication (cont'd)} +\label{sec-5} + +\begin{itemize} +\item Create two compatible matrices of order \texttt{nXm} and \texttt{mXr} +\begin{verbatim} + In []: m1.shape +\end{verbatim} + + +\begin{itemize} +\item matrix m1 is of order \texttt{1 X 4} +\end{itemize} + +\item Creating another matrix of order \texttt{4 X 2} +\begin{verbatim} + In []: m4 = matrix([[1,2],[3,4],[5,6],[7,8]]) +\end{verbatim} + +\item Matrix multiplication +\begin{verbatim} + In []: m1 * m4 +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Recall from \texttt{array}} +\label{sec-6} + +\begin{itemize} +\item The functions + +\begin{itemize} +\item \texttt{identity(n)} - + creates an identity matrix of order \texttt{nXn} +\item \texttt{zeros((m,n))} - + creates a matrix of order \texttt{mXn} with 0's +\item \texttt{zeros\_like(A)} - + creates a matrix with 0's similar to the shape of matrix \texttt{A} +\item \texttt{ones((m,n))} + creates a matrix of order \texttt{mXn} with 1's +\item \texttt{ones\_like(A)} + creates a matrix with 1's similar to the shape of matrix \texttt{A} +\end{itemize} + +\end{itemize} + + Can also be used with matrices +\end{frame} +\begin{frame}[fragile] +\frametitle{More matrix operations} +\label{sec-7} + + Transpose of a matrix +\begin{verbatim} + In []: m4.T +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 1 : Frobenius norm \& inverse} +\label{sec-8} + + Find out the Frobenius norm of inverse of a \texttt{4 X 4} matrix. +\begin{verbatim} + +\end{verbatim} + + The matrix is +\begin{verbatim} + m5 = matrix(arange(1,17).reshape(4,4)) +\end{verbatim} + +\begin{itemize} +\item Inverse of A, + +\begin{itemize} +\item $A^{-1} = inv(A)$ +\end{itemize} + +\item Frobenius norm is defined as, + +\begin{itemize} +\item $||A||_F = [\sum_{i,j} abs(a_{i,j})^2]^{1/2}$ +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 2: Infinity norm} +\label{sec-9} + + Find the infinity norm of the matrix \texttt{im5} +\begin{verbatim} + +\end{verbatim} + +\begin{itemize} +\item Infinity norm is defined as, + $max([\sum_{i} abs(a_{i})^2])$ +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{norm()} method} +\label{sec-10} + +\begin{itemize} +\item Frobenius norm +\begin{verbatim} + In []: norm(im5) +\end{verbatim} + +\item Infinity norm +\begin{verbatim} + In []: norm(im5, ord=inf) +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Determinant} +\label{sec-11} + + Find out the determinant of the matrix m5 +\begin{verbatim} + +\end{verbatim} + +\begin{itemize} +\item determinant can be found out using + +\begin{itemize} +\item \texttt{det(A)} - returns the determinant of matrix \texttt{A} +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{eigen values \& eigen vectors} +\label{sec-12} + + Find out the eigen values and eigen vectors of the matrix \texttt{m5}. +\begin{verbatim} + +\end{verbatim} + +\begin{itemize} +\item eigen values and vectors can be found out using +\begin{verbatim} + In []: eig(m5) +\end{verbatim} + + returns a tuple of \emph{eigen values} and \emph{eigen vectors} +\item \emph{eigen values} in tuple + +\begin{itemize} +\item \texttt{In []: eig(m5)[0]} +\end{itemize} + +\item \emph{eigen vectors} in tuple + +\begin{itemize} +\item \texttt{In []: eig(m5)[1]} +\end{itemize} + +\item Computing \emph{eigen values} using \texttt{eigvals()} +\begin{verbatim} + In []: eigvals(m5) +\end{verbatim} + +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Singular Value Decomposition (\texttt{svd})} +\label{sec-13} + + $M = U \Sigma V^*$ +\begin{itemize} +\item U, an \texttt{mXm} unitary matrix over K. +\item $\Sigma$ + , an \texttt{mXn} diagonal matrix with non-negative real numbers on diagonal. +\item $V^*$ + , an \texttt{nXn} unitary matrix over K, denotes the conjugate transpose of V. +\item SVD of matrix \texttt{m5} can be found out as, +\end{itemize} + +\begin{verbatim} + In []: svd(m5) +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-14} + +\begin{itemize} +\item Matrices + +\begin{itemize} +\item creating matrices +\end{itemize} + +\item Matrix operations +\item Inverse (\texttt{inv()}) +\item Determinant (\texttt{det()}) +\item Norm (\texttt{norm()}) +\item Eigen values \& vectors (\texttt{eig(), eigvals()}) +\item Singular Value Decomposition (\texttt{svd()}) +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-15} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} + + +\end{frame} + +\end{document} diff --git a/other-type-of-plots/bar-chart-hatch.png b/other-type-of-plots/bar-chart-hatch.png Binary files differnew file mode 100644 index 0000000..7b48125 --- /dev/null +++ b/other-type-of-plots/bar-chart-hatch.png diff --git a/other-type-of-plots/company-a-data.txt b/other-type-of-plots/company-a-data.txt new file mode 100644 index 0000000..06f4ca4 --- /dev/null +++ b/other-type-of-plots/company-a-data.txt @@ -0,0 +1,2 @@ +2.000000000000000000e+03 2.001000000000000000e+03 2.002000000000000000e+03 2.003000000000000000e+03 2.004000000000000000e+03 2.005000000000000000e+03 2.006000000000000000e+03 2.007000000000000000e+03 2.008000000000000000e+03 2.009000000000000000e+03 2.010000000000000000e+03 +2.300000000000000000e+01 5.500000000000000000e+01 3.200000000000000000e+01 6.500000000000000000e+01 8.800000000000000000e+01 5.000000000000000000e+00 1.400000000000000000e+01 6.700000000000000000e+01 2.300000000000000000e+01 2.300000000000000000e+01 1.200000000000000000e+01 diff --git a/other-type-of-plots/script.rst b/other-type-of-plots/script.rst index 010045b..0bbc1ea 100644 --- a/other-type-of-plots/script.rst +++ b/other-type-of-plots/script.rst @@ -3,7 +3,7 @@ .. * scatter .. * pie chart .. * bar chart -.. * log +.. * loglog .. * illustration of other plots, matplotlib help =================== @@ -17,13 +17,12 @@ Hello and welcome to the tutorial other type of plots. {{{ show the outline slide }}} In this tutorial we will cover scatter plot, pie chart, bar chart and -log plot. We will also see few other plots and also introduce you to +loglog plot. We will also see few other plots and also introduce you to the matplotlib help. - Let us start with scatter plot. -{{{ switch to the next slide }}} +{{{ switch to the next slide, scatter plot }}} In a scatter plot, the data is displayed as a collection of points, each having the value of one variable determining the position on the @@ -55,11 +54,14 @@ profit percentages. {{{ close the file and switch to the terminal }}} -To product the scatter plot first we need to load the data from the -file using ``loadtxt``. We learned in one of the previous sessions, +To produce the scatter plot first we need to load the data from the +file using ``loadtxt``. We learned it in one of the previous sessions, and it can be done as :: - year,profit = loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int())) + year,profit = + loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int())) + +{{{ switch to next slide, ``scatter`` function }}} Now in-order to generate the scatter graph we will use the function ``scatter()`` @@ -75,9 +77,11 @@ y-coordinate, the profit percentage. problem to be tried out }}} Now here is a question for you to try out, plot the same data with red -diamonds. +diamonds markers. + +.. **Clue** - *try scatter? in your ipython interpreter* -**Clue** - *try scatter? in your ipython interpreter* +Pause here and solve the question before moving on. .. scatter(year,profit,color='r',marker='d') @@ -95,14 +99,16 @@ Plot a pie chart representing the profit percentage of company A, with the same data from file ``company-a-data.txt``. So let us reuse the data we have loaded from the file previously. +{{{ switch to next slide, ``pie()`` function }}} + We can plot the pie chart using the function ``pie()``. :: pie(profit,labels=year) -Notice that we passed two arguments to the function ``pie()``. The -first one the values and the next one the set of labels to be used in -the pie chart. +Notice that we passed two arguments to the function ``pie()``. First +one the values and the next one the set of labels to be used in the +pie chart. {{{ switch to the next slide which has the problem statement of problem to be tried out }}} @@ -111,7 +117,9 @@ Now here is a question for you to try out, plot a pie chart with the same data with colors for each wedges as white, red, black, magenta, yellow, blue, green, cyan, yellow, magenta and blue respectively. -**Clue** - *try pie? in your ipython interpreter* +.. **Clue** - *try pie? in your ipython interpreter* + +Pause here and solve the question before moving on. .. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b')) @@ -121,7 +129,7 @@ Now let us move on to bar chart. A bar chart or bar graph is a chart with rectangular bars with lengths proportional to the values that they represent. -{{{ switch to the slide showing the problem statement of third +{{{ switch to the slide showing the problem statement of fifth exercise question }}} Plot a bar chart representing the profit percentage of company A, with @@ -129,6 +137,8 @@ the same data from file ``company-a-data.txt``. So let us reuse the data we have loaded from the file previously. +{{{ switch to the next slide, ``bar()`` function }}} + We can plot the bar chart using the function ``bar()``. :: @@ -143,13 +153,14 @@ problem to be tried out }}} Now here is a question for you to try, plot a bar chart which is not filled and which is hatched with 45\ :sup:`o` slanting lines as shown -in the image in the slide. +in the image in the slide. The data for the chart may be obtained from +the file ``company-a-data.txt``. -**Clue** - *try bar? in your ipython interpreter* +.. **Clue** - *try bar? in your ipython interpreter* .. bar(year,profit,fill=False,hatch='/') -{{{ switch to the slide which says about bar chart }}} +{{{ switch to the slide which says about log-log graph }}} Now let us move on to log-log plot. A log-log graph or log-log plot is a two-dimensional graph of numerical data that uses logarithmic scales @@ -170,6 +181,8 @@ that. And it could be done as, x = linspace(1,20,100) y = 5*x**3 +{{{ switch to next slide, ``loglog()`` function }}} + Now we can plot the log-log chart using ``loglog()`` function, :: @@ -195,16 +208,12 @@ matplotlib over the internet. Help about matplotlib can be obtained from matplotlib.sourceforge.net/contents.html -.. #[[Anoop: I am not so sure how to do the rest of it, so I guess we - can just browse through the side and tell them few. What is your - opinion??]] - -Now let us see few plots from -matplotlib.sourceforge.net/users/screenshots.html -{{{ browse through the site quickly }}} +More plots can be seen at +matplotlib.sourceforge.net/users/screenshots.html and also at +matplotlib.sourceforge.net/gallery.html -{{{ switch to recap slide }}} +{{{ switch to summary slide }}} Now we have come to the end of this tutorial. We have covered scatter plot, pie chart, bar chart, log-log plot and also saw few other plots diff --git a/other-type-of-plots/slides.org b/other-type-of-plots/slides.org new file mode 100644 index 0000000..f63ab12 --- /dev/null +++ b/other-type-of-plots/slides.org @@ -0,0 +1,137 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Other type of plots +#+AUTHOR: FOSSEE +#+EMAIL: +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Scatter plot + - Pie chart + - Bar chart + - Log-log Plot + - ~matplotlib~ help +* Exercise 1: Scatter plot + Plot a scatter plot showing the percentage profit of Company A from the year 2000 + to 2010. The data for the same is available in the file ~company-a-data.txt~. +* ~scatter()~ function + - /Syntax :/ scatter(x,y) + - x, a sequence of data + - y, a sequence of data, the same length of x + : In []: scatter(year, profit) +* Exercise 2: Scatter plot + Plot a scatter plot of the same data in ~company-a-data.txt~ with red diamond markers. + : + *Clue* - /try scatter? in your ipython interpreter/ +* Pie chart + Pie chart - a circle graph divided into sectors, illustrating proportion. +* Exercise 3: Pie chart + Plot a pie chart representing the profit percentage of company A, with the data + from the file ~company-a-data.txt~. + : + /(we can reuse the data in lists year and profit)/ +* ~pie()~ function + - /Syntax :/ pie(values, labels=labels) + - values, the data to be plotted + - labels, the label for each wedge in the pie chart + : In []: pie(profit, labels=year) +* Exercise 4: Pie chart + Plot a pie chart with the same data with colors for each wedges as white, red, + magenta, yellow, blue, green, cyan, yellow, magenta, and blue. + : + *Clue* - /try pie? in your ipython interpreter/ +* Bar chart + Bar chart - a chart with rectangular bars with lengths proportional + to the values that they represent. +* Exercise 5: Bar chart + Plot a bar chart representing the profit percentage of company A, with the data + from the file ~company-a-data.txt~. + : + /(we can reuse the data in lists year and profit)/ +* ~bar()~ function + - /Syntax :/ bar(x, y) + - x, a sequence of data + - y, a sequence of data, the same length of x + : In []: bar(year, profit) +* Exercise 6: Bar chart + Plot a bar chart which is not filled and which is hatched with + #+begin_latex + $45^o$ + #+end_latex + slanting lines as shown in the image. The data for the chart may be + obtained from the file ~company-a-data.txt~. + #+begin_latex + \begin{center} + \includegraphics[scale=0.3]{bar-chart-hatch} + \end{center} + #+end_latex + *Clue* - /try bar? in your ipython interpreter/ +* Log-log graph + - Log-log graph + - 2-dimensional graph. + - uses logarithmic scales on both axes. + - graph appears as straight line due to non-linear scaling. +* Exercise 7: + Plot a log-log chart of + #+begin_latex + $y = 5x^3$ + #+end_latex + for x from 1-20. +* ~loglog()~ function + - /Syntax :/ loglog(x, y) + - x, a sequence of data + - y, a sequence of data, the same length of x + : In []: loglog(x, y) +* Getting help on ~matplotlib~ + - Help + - [[matplotlib.sourceforge.net/contents.html]] + - More plots + - [[matplotlib.sourceforge.net/users/screenshots.html]] + - [[matplotlib.sourceforge.net/gallery.html]] + +* Summary + - Scatter plot (~scatter()~) + - Pie chart (~pie()~) + - Bar chart (~bar()~) + - Log-log plot (~loglog()~) + - ~matplotlib~ online help +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/other-type-of-plots/slides.tex b/other-type-of-plots/slides.tex new file mode 100644 index 0000000..c0b4180 --- /dev/null +++ b/other-type-of-plots/slides.tex @@ -0,0 +1,280 @@ +% Created 2010-10-12 Tue 16:22 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Other type of plots} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Scatter plot +\item Pie chart +\item Bar chart +\item Log-log Plot +\item \texttt{matplotlib} help +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 1: Scatter plot} +\label{sec-2} + + Plot a scatter plot showing the percentage profit of Company A from the year 2000 + to 2010. The data for the same is available in the file \texttt{company-a-data.txt}. +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{scatter()} function} +\label{sec-3} + +\begin{itemize} +\item \emph{Syntax :} scatter(x,y) + +\begin{itemize} +\item x, a sequence of data +\item y, a sequence of data, the same length of x +\end{itemize} + +\end{itemize} + +\begin{verbatim} + In []: scatter(year, profit) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 2: Scatter plot} +\label{sec-4} + + Plot a scatter plot of the same data in \texttt{company-a-data.txt} with red diamond markers. +\begin{verbatim} + +\end{verbatim} + + \textbf{Clue} - \emph{try scatter? in your ipython interpreter} +\end{frame} +\begin{frame} +\frametitle{Pie chart} +\label{sec-5} + + Pie chart - a circle graph divided into sectors, illustrating proportion. +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 3: Pie chart} +\label{sec-6} + + Plot a pie chart representing the profit percentage of company A, with the data + from the file \texttt{company-a-data.txt}. +\begin{verbatim} + +\end{verbatim} + + \emph{(we can reuse the data in lists year and profit)} +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{pie()} function} +\label{sec-7} + +\begin{itemize} +\item \emph{Syntax :} pie(values, labels=labels) + +\begin{itemize} +\item values, the data to be plotted +\item labels, the label for each wedge in the pie chart +\end{itemize} + +\end{itemize} + +\begin{verbatim} + In []: pie(profit, labels=year) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 4: Pie chart} +\label{sec-8} + + Plot a pie chart with the same data with colors for each wedges as white, red, + magenta, yellow, blue, green, cyan, yellow, magenta, and blue. +\begin{verbatim} + +\end{verbatim} + + \textbf{Clue} - \emph{try pie? in your ipython interpreter} +\end{frame} +\begin{frame} +\frametitle{Bar chart} +\label{sec-9} + + Bar chart - a chart with rectangular bars with lengths proportional + to the values that they represent. +\end{frame} +\begin{frame}[fragile] +\frametitle{Exercise 5: Bar chart} +\label{sec-10} + + Plot a bar chart representing the profit percentage of company A, with the data + from the file \texttt{company-a-data.txt}. +\begin{verbatim} + +\end{verbatim} + + \emph{(we can reuse the data in lists year and profit)} +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{bar()} function} +\label{sec-11} + +\begin{itemize} +\item \emph{Syntax :} bar(x, y) + +\begin{itemize} +\item x, a sequence of data +\item y, a sequence of data, the same length of x +\end{itemize} + +\end{itemize} + +\begin{verbatim} + In []: bar(year, profit) +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{Exercise 6: Bar chart} +\label{sec-12} + + Plot a bar chart which is not filled and which is hatched with + $45^o$ + slanting lines as shown in the image. The data for the chart may be + obtained from the file \texttt{company-a-data.txt}. + \begin{center} + \includegraphics[scale=0.3]{bar-chart-hatch} + \end{center} + \textbf{Clue} - \emph{try bar? in your ipython interpreter} +\end{frame} +\begin{frame} +\frametitle{Log-log graph} +\label{sec-13} + +\begin{itemize} +\item Log-log graph + +\begin{itemize} +\item 2-dimensional graph. +\item uses logarithmic scales on both axes. +\item graph appears as straight line due to non-linear scaling. +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Exercise 7:} +\label{sec-14} + + Plot a log-log chart of + $y = 5x^3$ + for x from 1-20. +\end{frame} +\begin{frame}[fragile] +\frametitle{\texttt{loglog()} function} +\label{sec-15} + +\begin{itemize} +\item \emph{Syntax :} loglog(x, y) + +\begin{itemize} +\item x, a sequence of data +\item y, a sequence of data, the same length of x +\end{itemize} + +\end{itemize} + +\begin{verbatim} + In []: loglog(x, y) +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{Getting help on \texttt{matplotlib}} +\label{sec-16} + +\begin{itemize} +\item Help + +\begin{itemize} +\item \hyperref[sec-16]{matplotlib.sourceforge.net/contents.html} +\end{itemize} + +\item More plots + +\begin{itemize} +\item \hyperref[sec-16]{matplotlib.sourceforge.net/users/screenshots.html} +\item \hyperref[sec-16]{matplotlib.sourceforge.net/gallery.html} +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-17} + +\begin{itemize} +\item Scatter plot (\texttt{scatter()}) +\item Pie chart (\texttt{pie()}) +\item Bar chart (\texttt{bar()}) +\item Log-log plot (\texttt{loglog()}) +\item \texttt{matplotlib} online help +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-18} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/savefig/script.rst b/savefig/script.rst index 506428e..87080d0 100644 --- a/savefig/script.rst +++ b/savefig/script.rst @@ -9,8 +9,16 @@ Savefig ======= -Hello and welcome to the tutorial. In this tutorial you will learn how -to save plots using Python. +{{{ Show the first slide }}} + +Hello and welcome to the tutorial saving plots. + +{{{ switch to next slide, outline slide }}} + +In this tutorial you will learn how to save plots using Python. And +saving in different formats, and locating the file in the file system. + +{{{ switch to next slide, a sine wave}}} Start your IPython interpreter with the command :: @@ -38,9 +46,11 @@ Done! we have made a very basic sine plot, now let us see how to save the plot for future use so that you can embed the plot in your reports. +{{{ switch to next slide, savefig() }}} + {{{ Switch the focus to IPython interpreter window }}} -For saving the plot, we will use savefig function, and it has to be +For saving the plot, we will use ``savefig()`` function, and it has to be done with the plot window open. The statement is, :: savefig('/home/fossee/sine.png') @@ -73,6 +83,8 @@ Yes, the file ``sine.png`` is here and let us check it. close it and return to IPython interpreter, make sure the plot window is still open, also don't close the file browser window }}} +{{{ switch to next slide, More on savefig() }}} + So in-order to save a plot, we use ``savefig`` function. ``savefig`` can save the plot in many formats, such as pdf - portable document format, ps - post script, eps - encapsulated post script, svg - @@ -81,15 +93,19 @@ support transparency etc. .. #[[slide must give the extensions for the files - Anoop]] +{{{ switch to next slide, exercise 1 }}} + Let us now try to save the plot in eps format. ``eps`` stands for encapsulated post script, and it can be embedded in your latex -documents. +documents. Pause here and try to figure it out yourself. {{{ Switch focus to the already open plot window }}} We still have the sine plot with us, and now let us save the plot as ``sine.eps``. +{{{ switch to next slide, solution 1 }}} + {{{ Switch focus to IPython interpreter }}} Now, We will save the plot using the function ``savefig`` :: @@ -105,10 +121,17 @@ seconds and then double click and open the file }}} Yes! the new file ``sine.eps`` is here. +{{{ switch to next slide, exercise 2 }}} + Now you may try saving the same in pdf, ps, svg formats. -Let us review what we have learned in this session! We have learned to -save plots in different formats using the function ``savefig()``. +{{{ Switch to summary slide }}} + +This brings us to the end of this tutorial, in this tutorial we +learned to save plots using the function ``savefig()``. Saving the +plots in different formats and locating the files in the file system. + +{{{ switch to Thank you slide }}} Thank you! diff --git a/savefig/slides.org b/savefig/slides.org new file mode 100644 index 0000000..4278516 --- /dev/null +++ b/savefig/slides.org @@ -0,0 +1,99 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Savefig +#+AUTHOR: FOSSEE +#+EMAIL: info@fossee.in +#+DATE: 2010-10-11 Mon + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Saving plots. + - Plotting in different formats. + - Locating the file in the file system. + +* Creating a basic plot + Plot a sine wave from -3pi to 3pi. + #+begin_src python + In []: x = linspace(-3*pi,3*pi,100) + + In []: plot(x, sin(x)) + #+end_src +* savefig() +** savefig() - to save plots + : syntax: savefig(fname) +** example +*** savefig('/home/fossee/sine.png') + - file sine.png saved to the folder /home/fossee + - .png - file type + +* More on savefig() +** Recall + - .png - file type +** File types supported +*** .pdf - PDF(Portable Document Format) +*** .ps - PS(Post Script) +*** .eps - Encapsulated Post Script + ~to be used with~ LaTeX ~documents~ +*** .svg - Scalable Vector Graphics + ~vector graphics~ +*** .png - Portable Network Graphics + ~supports transparency~ +* Exercise 1 + Save the sine plot in the format EPS which can be embedded in LaTeX documents. +* Solution 1 + #+begin_src python + savefig('/home/fossee/sine.eps') + #+end_src +* Exercise 2 + Save the sine plot in PDF, PS and SVG formats. + +* Summary + You should now be able to + - Use ~savefig()~ function + - Save plots in different formats + - PDF + - PS + - PNG + - SVG + - EPS + - Locating the files in file system. + +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/savefig/slides.tex b/savefig/slides.tex new file mode 100644 index 0000000..06d530b --- /dev/null +++ b/savefig/slides.tex @@ -0,0 +1,185 @@ +% Created 2010-10-11 Mon 17:08 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Savefig} +\author{FOSSEE} +\date{2010-10-11 Mon} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Saving plots. +\item Plotting in different formats. +\item Locating the file in the file system. +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Creating a basic plot} +\label{sec-2} + + Plot a sine wave from -3pi to 3pi. +\begin{verbatim} +In []: x = linspace(-3*pi,3*pi,100) + +In []: plot(x, sin(x)) +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{savefig()} +\label{sec-3} +\begin{itemize} + +\item savefig() - to save plots +\label{sec-3_1}% +\begin{verbatim} + syntax: savefig(fname) +\end{verbatim} + + +\item example +\label{sec-3_2}% +\begin{itemize} + +\item savefig('/home/fossee/sine.png') +\label{sec-3_2_1}% +\begin{itemize} +\item file sine.png saved to the folder /home/fossee +\item .png - file type +\end{itemize} + + +\end{itemize} % ends low level +\end{itemize} % ends low level +\end{frame} +\begin{frame} +\frametitle{More on savefig()} +\label{sec-4} +\begin{itemize} + +\item Recall +\label{sec-4_1}% +\begin{itemize} +\item .png - file type +\end{itemize} + + +\item File types supported +\label{sec-4_2}% +\begin{itemize} + +\item .pdf - PDF(Portable Document Format)\\ +\label{sec-4_2_1}% +\item .ps - PS(Post Script)\\ +\label{sec-4_2_2}% +\item .eps - Encapsulated Post Script\\ +\label{sec-4_2_3}% +\texttt{to be used with} \LaTeX{} \texttt{documents} + +\item .svg - Scalable Vector Graphics\\ +\label{sec-4_2_4}% +\texttt{vector graphics} + +\item .png - Portable Network Graphics\\ +\label{sec-4_2_5}% +\texttt{supports transparency} +\end{itemize} % ends low level +\end{itemize} % ends low level +\end{frame} +\begin{frame} +\frametitle{Exercise 1} +\label{sec-5} + + Save the sine plot in the format EPS which can be embedded in \LaTeX{} documents. +\end{frame} +\begin{frame}[fragile] +\frametitle{Solution 1} +\label{sec-6} + +\begin{verbatim} +savefig('/home/fossee/sine.eps') +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{Exercise 2} +\label{sec-7} + + Save the sine plot in PDF, PS and SVG formats. +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-8} + + You should now be able to +\begin{itemize} +\item Use \texttt{savefig()} function +\item Save plots in different formats + +\begin{itemize} +\item PDF +\item PS +\item PNG +\item SVG +\item EPS +\end{itemize} + +\item Locating the files in file system. +\end{itemize} + + +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-9} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/using python modules/script.rst b/using python modules/script.rst index aa00863..5155d37 100644 --- a/using python modules/script.rst +++ b/using python modules/script.rst @@ -17,7 +17,8 @@ Welcome to the spoken tutorial on using python modules. {{{ switch to next slide, outline slide }}} In this tutorial, we will see how to run python scripts from command -line, importing modules, importing scipy and pylab modules. +line, importing modules, importing scipy and pylab modules. And also +see the Python standard library. {{{ switch to next slide on executing python scripts from command line }}} @@ -48,6 +49,8 @@ terminal and navigate to the directory where hello.py is, {{{ open terminal and navigate to directory where hello.py was saved }}} +{{{ switch to next slide }}} + now run the Python script as, :: @@ -59,6 +62,8 @@ It executed the script and we got the output ``Hello World!``. The syntax is python space filename. +{{{ switch to next slide, four plot problem }}} + Now recall the four plot problem where we plotted four plots in a single figure. Let us run that script from command line. @@ -87,6 +92,8 @@ starts. And thus we don't have to explicitly import modules. So now let us try to fix the problem and run the script in command line, +{{{ switch to next slide, fix ``linspace`` problem }}} + add the following line as the first line in the script, {{{ add the line as first line in four_plot.py and save }}} :: @@ -100,6 +107,9 @@ Now let us run the script again, Now it gave another error plot not defined, let us edit the file again and add the line below the line we just added, + +{{{ switch to next slide, fix ``plot`` problem }}} + {{{ add the line as second line in four_plot.py and save }}} :: @@ -115,6 +125,8 @@ Yes! it worked. So what did we do? We actually imported the required modules using the keyword ``import``. It could have also be done as, +{{{ switch to next slide, better way of fixing }}} + {{{ highlight the following in slide and say it loud }}} :: @@ -130,29 +142,26 @@ asterisk or star. As if we use asterisk to import from a particular module then it will replace any existing functions with the same name in our name-space. +{{{ switch to next slide, Instead of ``*`` }}} + So let us modify four_plot.py as, {{{ delete the first two lines and add the following }}} :: from scipy import linspace, pi, sin - from pylab import plot, legend, annotate, title, show - from pylab import xlim, ylim + from pylab import plot, legend, annotate + from pylab import xlim, ylim, title, show -{{{ switch to next slide }}} -it could also be done as, +Now let us try running the code again as, +:: -.. import scipy -.. import pylab -.. x = scipy.linspace(-5*scipy.pi, 5*scipy.pi, 500) -.. pylab.plot(x, x, 'b') -.. pylab.plot(x, -x, 'b') -.. pylab.plot(x, scipy.sin(x), 'g', linewidth=2) -.. pylab.plot(x, x*scipy.sin(x), 'r', linewidth=3) -.. pylab.legend(['x', '-x', 'sin(x)', 'xsin(x)']) -.. pylab.annotate('origin', xy = (0, 0)) -.. pylab.xlim(-5*scipy.pi, 5*scipy.pi) -.. pylab.ylim(-5*scipy.pi, 5*scipy.pi) + python four_plot.py + +It works! In this method we actually imported the functions to the +current name-space, and there is another method of doing it. And that +is, +{{{ switch to next slide }}} Notice that we use ``scipy.pi`` instead of just ``pi`` as in the previous method, and the functions are called as ``pylab.plot()`` and @@ -211,7 +220,7 @@ Find more information at Python Library reference, The modules pylab, scipy, Mayavi are not part of the standard python library. -{{{ switch to next slide, recap }}} +{{{ switch to next slide, summary }}} This brings us to the end of this tutorial, in this tutorial we learned running scripts from command line, learned about modules, saw diff --git a/using python modules/slides.org b/using python modules/slides.org new file mode 100644 index 0000000..46f6dc9 --- /dev/null +++ b/using python modules/slides.org @@ -0,0 +1,125 @@ +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] +#+BEAMER_FRAME_LEVEL: 1 + +#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra) +#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC + +#+LaTeX_CLASS: beamer +#+LaTeX_CLASS_OPTIONS: [presentation] + +#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl} +#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} + +#+LaTeX_HEADER: \usepackage{listings} + +#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries, +#+LaTeX_HEADER: commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +#+LaTeX_HEADER: showstringspaces=false, keywordstyle=\color{blue}\bfseries} + +#+TITLE: Using python modules +#+AUTHOR: FOSSEE +#+EMAIL: +#+DATE: + +#+DESCRIPTION: +#+KEYWORDS: +#+LANGUAGE: en +#+OPTIONS: H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t +#+OPTIONS: TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc + +* Outline + - Running python scripts from command line + - Importing python modules + - Importing scipy \& pylab modules + - About python standard library. +* Running Python script from command line + - Create a script, open text editor and type the following + : print "hello world!" + : print + - Save the script as ~hello.py~ +* Running Python script from command line (cont'd) + - Run the script + : $ python hello.py + /Syntax :/ *python filename* +* Four plot problem + #+begin_latex + \begin{center} + \includegraphics[scale=0.4]{four_plot} + \end{center} + #+end_latex +* Fix ~linspace()~ problem + : from scipy import * +* Fix ~plot()~ problem + : from pylab import * +* Better way of fixing + : from scipy import linspace + instead of + : from scipy import * + ~*~ means import all functions from name-space ~scipy~. +* Instead of ~*~ + : from scipy import linspace, pi, sin + : from pylab import plot, legend, annotate + : from pylab import xlim, ylim, title, show + Is better than, ~from scipy import *~ \& ~from pylab import *~. +* Another Fix + #+begin_src python + import scipy + import pylab + x = scipy.linspace(-5*scipy.pi, 5*scipy.pi, 500) + pylab.plot(x, x, 'b') + pylab.plot(x, -x, 'b') + pylab.plot(x, scipy.sin(x), 'g', linewidth=2) + pylab.plot(x, x*scipy.sin(x), 'r', linewidth=3) + pylab.legend(['x', '-x', 'sin(x)', 'xsin(x)']) + pylab.annotate('origin', xy = (0, 0)) + pylab.xlim(-5*scipy.pi, 5*scipy.pi) + pylab.ylim(-5*scipy.pi, 5*scipy.pi) + #+end_src +* Exercise 1 + Write a python script to plot a sine wave from + #+begin_latex + $-2\Pi$ + #+end_latex + to + #+begin_latex + $2\Pi$ + #+end_latex + . +* What is a module? + Module is simply a file containing Python definitions and + statements. Definitions from a module can be imported into other + modules or into the main module. +* Python standard library + Python has a very rich standard library of modules. + - Few libraries + - Math: ~math~, ~random~ + - Internet access: ~urllib2~, ~smtplib~ + - System, Command line arguments: ~sys~ + - Operating system interface: ~os~ + - regular expressions: ~re~ + - compression: ~gzip~, ~zipfile~, ~tarfile~ + - More information + - [[http://docs.python.org/library]] +* Summary + - Running scripts from command line + - Learned about modules + - importing modules + - Python standard library +* Thank you! +#+begin_latex + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +#+end_latex + + diff --git a/using python modules/slides.tex b/using python modules/slides.tex new file mode 100644 index 0000000..08c954b --- /dev/null +++ b/using python modules/slides.tex @@ -0,0 +1,227 @@ +% Created 2010-10-12 Tue 17:12 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{t1enc} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Using python modules} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Running python scripts from command line +\item Importing python modules +\item Importing scipy \& pylab modules +\item About python standard library. +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Running Python script from command line} +\label{sec-2} + +\begin{itemize} +\item Create a script, open text editor and type the following +\begin{verbatim} + print "hello world!" + print +\end{verbatim} + +\item Save the script as \texttt{hello.py} +\end{itemize} +\end{frame} +\begin{frame}[fragile] +\frametitle{Running Python script from command line (cont'd)} +\label{sec-3} + +\begin{itemize} +\item Run the script +\begin{verbatim} + $ python hello.py +\end{verbatim} + +\end{itemize} + + \emph{Syntax :} \textbf{python filename} +\end{frame} +\begin{frame} +\frametitle{Four plot problem} +\label{sec-4} + + \begin{center} + \includegraphics[scale=0.4]{four_plot} + \end{center} +\end{frame} +\begin{frame}[fragile] +\frametitle{Fix \texttt{linspace()} problem} +\label{sec-5} + +\begin{verbatim} + from scipy import * +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Fix \texttt{plot()} problem} +\label{sec-6} + +\begin{verbatim} + from pylab import * +\end{verbatim} +\end{frame} +\begin{frame}[fragile] +\frametitle{Better way of fixing} +\label{sec-7} + +\begin{verbatim} + from scipy import linspace +\end{verbatim} + + instead of +\begin{verbatim} + from scipy import * +\end{verbatim} + + \texttt{*} means import all functions from name-space \texttt{scipy}. +\end{frame} +\begin{frame}[fragile] +\frametitle{Instead of \texttt{*}} +\label{sec-8} + +\begin{verbatim} + from scipy import linspace, pi, sin + from pylab import plot, legend, annotate + from pylab import xlim, ylim, title, show +\end{verbatim} + + Is better than, \texttt{from scipy import *} \& \texttt{from pylab import *}. +\end{frame} +\begin{frame}[fragile] +\frametitle{Another Fix} +\label{sec-9} + +\begin{verbatim} +import scipy +import pylab +x = scipy.linspace(-5*scipy.pi, 5*scipy.pi, 500) +pylab.plot(x, x, 'b') +pylab.plot(x, -x, 'b') +pylab.plot(x, scipy.sin(x), 'g', linewidth=2) +pylab.plot(x, x*scipy.sin(x), 'r', linewidth=3) +pylab.legend(['x', '-x', 'sin(x)', 'xsin(x)']) +pylab.annotate('origin', xy = (0, 0)) +pylab.xlim(-5*scipy.pi, 5*scipy.pi) +pylab.ylim(-5*scipy.pi, 5*scipy.pi) +\end{verbatim} +\end{frame} +\begin{frame} +\frametitle{Exercise 1} +\label{sec-10} + + Write a python script to plot a sine wave from + $-2\Pi$ + to + $2\Pi$ + . +\end{frame} +\begin{frame} +\frametitle{What is a module?} +\label{sec-11} + + Module is simply a file containing Python definitions and + statements. Definitions from a module can be imported into other + modules or into the main module. +\end{frame} +\begin{frame} +\frametitle{Python standard library} +\label{sec-12} + + Python has a very rich standard library of modules. +\begin{itemize} +\item Few libraries + +\begin{itemize} +\item Math: \texttt{math}, \texttt{random} +\item Internet access: \texttt{urllib2}, \texttt{smtplib} +\item System, Command line arguments: \texttt{sys} +\item Operating system interface: \texttt{os} +\item regular expressions: \texttt{re} +\item compression: \texttt{gzip}, \texttt{zipfile}, \texttt{tarfile} +\end{itemize} + +\item More information + +\begin{itemize} +\item \href{http://docs.python.org/library}{http://docs.python.org/library} +\end{itemize} + +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-13} + +\begin{itemize} +\item Running scripts from command line +\item Learned about modules + +\begin{itemize} +\item importing modules +\end{itemize} + +\item Python standard library +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-14} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} diff --git a/using_sage_to_teach.rst b/using_sage_to_teach.rst deleted file mode 100644 index 32fa8dc..0000000 --- a/using_sage_to_teach.rst +++ /dev/null @@ -1,48 +0,0 @@ -Hello friends and welcome to the tutorial on "How to use SAGE for teaching" - -{{{ Show the slide containing title }}} - -{{{ Show the slide containing the outline slide }}} - -In this tutorial, we shall learn - - * How to use SAGE for 2D and 3D plotting - * How to use interactive features of SAGE for better demonstration - * How to use SAGE worksheets for collaborative learning - * How to use typesetting in sage for neater outputs - -2D - * plot - * parametric_plot - * polygon - * line -3D - * plot3d - * parametric_plot3d -{{{ Pause here and try out the following exercises }}} - -%% 2 %% change the label on y-axis to "y" and save the lines of code - accordingly - -{{{ continue from paused state }}} - -{{{ Show summary slide }}} - -This brings us to the end of the tutorial. -we have learnt - - * how to use loadtxt to read files - * how to generate a least square fit - -{{{ Show the "sponsored by FOSSEE" slide }}} - -#[Nishanth]: Will add this line after all of us fix on one. -This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India - -Hope you have enjoyed and found it useful. -Thankyou - -.. Author : Nishanth - Internal Reviewer 1 : - Internal Reviewer 2 : - External Reviewer : diff --git a/writing_python_scripts/quickref.tex b/writing_python_scripts/quickref.tex new file mode 100644 index 0000000..a0212b3 --- /dev/null +++ b/writing_python_scripts/quickref.tex @@ -0,0 +1,11 @@ +Creating a tuple:\\ +{\ex \lstinline| t = (1, "hello", 2.5)|} + +Accessing elements of tuples:\\ +{\ex \lstinline| t[index] Ex: t[2]|} + +Accessing slices of tuples:\\ +{\ex \lstinline| t[start:stop:step]|} + +Swapping values:\\ +{\ex \lstinline| a, b = b, a|} diff --git a/writing_python_scripts.rst b/writing_python_scripts/script.rst index 672d686..d8268f4 100644 --- a/writing_python_scripts.rst +++ b/writing_python_scripts/script.rst @@ -1,3 +1,17 @@ +.. Objectives +.. ---------- + +.. Prerequisites +.. ------------- + +.. Author : Nishanth Amuluru + Internal Reviewer : + External Reviewer : + Checklist OK? : <put date stamp here, if OK> [2010-10-05] + +Script +------ + Hello friends and welcome to the tutorial on "Writing Python scripts" {{{ Show the slide containing title }}} @@ -129,8 +143,4 @@ This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India Hope you have enjoyed and found it useful. Thankyou - -.. Author : Nishanth - Internal Reviewer 1 : - Internal Reviewer 2 : - External Reviewer : + diff --git a/writing_python_scripts/slides.tex b/writing_python_scripts/slides.tex new file mode 100644 index 0000000..b1b2eda --- /dev/null +++ b/writing_python_scripts/slides.tex @@ -0,0 +1,104 @@ +% Created 2010-10-10 Sun 23:53 +\documentclass[presentation]{beamer} +\usepackage[latin1]{inputenc} +\usepackage[T1]{fontenc} +\usepackage{fixltx2e} +\usepackage{graphicx} +\usepackage{longtable} +\usepackage{float} +\usepackage{wrapfig} +\usepackage{soul} +\usepackage{textcomp} +\usepackage{marvosym} +\usepackage{wasysym} +\usepackage{latexsym} +\usepackage{amssymb} +\usepackage{hyperref} +\tolerance=1000 +\usepackage[english]{babel} \usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet} +\usepackage{listings} +\lstset{language=Python, basicstyle=\ttfamily\bfseries, +commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen}, +showstringspaces=false, keywordstyle=\color{blue}\bfseries} +\providecommand{\alert}[1]{\textbf{#1}} + +\title{Sets} +\author{FOSSEE} +\date{} + +\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent} +\begin{document} + +\maketitle + + + + + + + + + +\begin{frame} +\frametitle{Outline} +\label{sec-1} + +\begin{itemize} +\item Defining Sets +\item Operations on sets +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Question 1} +\label{sec-2} + + Given a list of marks, \texttt{marks = [20, 23, 22, 23, 20, 21, 23]} list + all the duplicates +\end{frame} +\begin{frame}[fragile] +\frametitle{Solution 1} +\label{sec-3} + +\lstset{language=Python} +\begin{lstlisting} +marks = [20, 23, 22, 23, 20, 21, 23] +marks_set = set(marks) +for mark in marks_set: + marks.remove(mark) + +# we are now left with only duplicates in the list marks +duplicates = set(marks) +\end{lstlisting} +\end{frame} +\begin{frame} +\frametitle{Summary} +\label{sec-4} + + You should now be able to -- +\begin{itemize} +\item make sets from lists +\item input sets directly +\item perform operations like union, intersection, symmetric difference +\item check if a subset of another +\item check containership, length and other properties similar to lists +\end{itemize} +\end{frame} +\begin{frame} +\frametitle{Thank you!} +\label{sec-5} + + \begin{block}{} + \begin{center} + This spoken tutorial has been produced by the + \textcolor{blue}{FOSSEE} team, which is funded by the + \end{center} + \begin{center} + \textcolor{blue}{National Mission on Education through \\ + Information \& Communication Technology \\ + MHRD, Govt. of India}. + \end{center} + \end{block} +\end{frame} + +\end{document} |
