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19 files changed, 1237 insertions, 443 deletions
diff --git a/dictionaries.rst b/dictionaries/script.rst index 63fca2a..63fca2a 100644 --- a/dictionaries.rst +++ b/dictionaries/script.rst diff --git a/getting_started_with_arrays.rst b/getting-started-with-arrays/script.rst index d01b884..eb9ba80 100644 --- a/getting_started_with_arrays.rst +++ b/getting-started-with-arrays/script.rst @@ -37,6 +37,8 @@ lists, it is at least 80 to 100 times faster than lists. {{{ switch to the next slide, creating arrays }}} +Now let us see how to create arrays. + I am assuming that you have your IPython interpreter running with the ``-pylab`` option, so that you have the required modules loaded. @@ -47,11 +49,36 @@ To create an array we will use the function ``array()`` as, Notice that here we created a one dimensional array. Also notice the object we passed to create an array. Now let us see how to create a -two dimensional array. +two dimensional array. Pause here and try to do it yourself before +looking at the solution. + +This is how we create two dimensional arrays. :: a2 = array([[1,2,3,4],[5,6,7,8]]) +Let us see an easy method of creating an array with elements 1 to 8. +:: + + ar = arange(1,9) + +And it created a single dimensional array of elements from 1 to 8. +:: + + print ar + +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. + +We can use the function ``reshape()`` for that purpose and it can be +done as, +:: + + ar.reshape(2,4) + ar.reshape(4,2) + ar = ar.reshape(2,4) + 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 @@ -201,7 +228,9 @@ it does not perform matrix multiplication. {{{ switch to next slide, recap 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 an array, basic array operations etc. +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 +an array, basic array operations etc. {{{ switch to next slide, thank you }}} diff --git a/getting_started_with_for.rst b/getting-started-with-for/script.rst index d5a844f..ce6e26c 100644 --- a/getting_started_with_for.rst +++ b/getting-started-with-for/script.rst @@ -270,3 +270,4 @@ Thank you! Reviewer 1: Nishanth Reviewer 2: Amit Sethi External reviewer: + diff --git a/gettings_started_with_for.rst b/gettings_started_with_for.rst deleted file mode 100644 index f832319..0000000 --- a/gettings_started_with_for.rst +++ /dev/null @@ -1,217 +0,0 @@ -.. 3.2 LO: getting started with =for= (2) [anoop] -.. ----------------------------------------------- -.. * blocks in python -.. + (indentation) -.. * blocks in ipython -.. + ... prompt -.. + hitting enter -.. * =for= with a list -.. * =range= function - -============================= -Getting started with for loop -============================= - -{{{ show welcome slide }}} - -Hello and welcome to the tutorial getting started with ``for`` loop. - -{{{ switch to next slide, outline slide }}} - -In this tutorial we will see ``for`` loops in python, and also cover -the basics of indenting code in python. - -{{{ switch to next slide, about whitespaces }}} - -In Python whitespace is significant, and the blocks are visually -separated rather than using braces or any other mechanisms for -defining blocks. And by this method Python forces the programmers to -stick on to one way of writing or beautifying the code rather than -debating over where to place the braces. This way it produces uniform -code than obscure or unreadable code. - -A block may be defined by a suitable indentation level which can be -either be a tab or few spaces. And the best practice is to indent the -code using four spaces. - -Now let us move straight into ``for`` loop. - -{{{ switch to next slide, problem statement of exercise 1 }}} - -Write a for loop which iterates through a list of numbers and find the -square root of each number. Also make a new list with the square roots -and print it at the end. -:: - - numbers are 1369, 7225, 3364, 7056, 5625, 729, 7056, 576, 2916 - -For the problem, first we need to create a ``list`` of numbers and -then iterate over the list and find the square root of each element in -it. And let us create a script, rather than typing it out in the -interpreter itself. Create a script called list_roots.py and type the -following. - -{{{ open the text editor and paste the following code there }}} -:: - - numbers = [1369, 7225, 3364, 7056, 5625, 729, 7056, 576, 2916] - square_roots = [] - for each in numbers: - sq_root = sqrt(each) - print "Square root of", each, "is", sq_root - square_roots.append(sq_root) - print - print square_roots - -{{{ save the script }}} - -Now save the script, and run it from your IPython interpreter. I -assume that you have started your IPython interpreter using ``-pylab`` -option. - -Run the script as, -:: - - %run -i list_roots.py - -{{{ run the script }}} - -So that was easy! We didn't have to find the length of the string nor -address of each element of the list one by one. All what we did was -iterate over the list element by element and then use the element for -calculation. Note that here we used three variables. One the variable -``numbers``, which is a list, another one ``each``, which is the -element of list under consideration in each cycle of the ``for`` loop, -and then a variable ``sq_root`` for storing the square root in each -cycle of the ``for`` loop. The variable names can be chosen by you. - -{{{ show the script which was created }}} - -Note that three lines after ``for`` statement, are indented using four -spaces. - -{{{ highlight the threee lines after for statement }}} - -It means that those three lines are part of the for loop. And it is -called a block of statements. And the seventh line or the immediate -line after the third line in the ``for`` loop is not indented, - -{{{ highlight the seventh line - the line just after for loop }}} - -it means that it is not part of the ``for`` loop and the lines after -that doesn't fall in the scope of the ``for`` loop. Thus each block is -separated by the indentation level. Thus marking the importance of -white-spaces in Python. - -{{{ switch to the slide which shows the problem statement of the first -problem to be tried out }}} - -Now a question for you to try, 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 - -{{{ switch to next slide, problem statement of second problem in -solved exercie}}} - -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 focus to the IPython interpreter }}} - -So let us start with making a list. Type the following -:: - - numbers = [1369, 7225, 3364, 7056, 5625, 729, 7056, 576, 2916] - for each in numbers: - -and now you will notice that, as soon as you press the return key -after for statement, the prompt changes to four dots and the cursor is -not right after the four dots but there are four spaces from the -dots. The four dots tell you that you are inside a block. Now type the -rest of the ``for`` loop, -:: - - sq_root = sqrt(each) - print "Square root of", each, "is", sq_root - -Now we have finished the statements in the block, and still the -interpreter is showing four dots, which means you are still inside the -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. - -Now, let us generate the multiplication table of 10 from one to -ten. But this time let us try it in the vanilla version of Python -interpreter. - -Start the vanilla version of Python interpreter by issuing the command -``python`` in your terminal. - -{{{ open the python interpreter in the terminal using the command -python to start the vanilla Python interpreter }}} - -Start with, -:: - - for i in range(1,11): - -and press enter once, and we will see that this time it shows four -dots, but the cursor is close to the dots, so we have to intend the -block. So enter four spaces there and then type the following -:: - - - print "10 *",i,"=",i*10 - -Now when we hit enter, we still see the four dots, to get out of the -block type enter once. - -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, -``range()`` function. ``range()`` is an inbuilt function in Python -which can be used to generate a ``list`` of integers from a starting -range to an ending range. Note that the ending number that you specify -will not be included in the ``list``. - -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 focus to ipython interpreter }}} - -{{{ switch to next slide, problem statement of the next problem in -solved exercises }}} - -Print the list of odd numbers from 1 to 50. It will be better if -you can try it out yourself. - -It is a very trivial problem and can be solved as, -:: - - print range(1,51,2) - -This time we passed three parameters to ``range()`` function unlike -the previous case where we passed only two parameters. The first two -parameters are the same in both the cases. The first parameter is the -starting number of the sequence and the second parameter is the end of -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 }}} - -Thus we come to the end of this tutorial. We learned about blocks in -Python, indentation, blocks in IPython, for loop, iterating over a -list and then the ``range()`` function. - -{{{ switch to next slide, thank you slide }}} - -Thank you! - -.. Author: Anoop Jacob Thomas <anoop@fossee.in> - Reviewer 1: - Reviewer 2: - External reviewer: diff --git a/matrices/script.rst b/matrices/script.rst new file mode 100644 index 0000000..fa30811 --- /dev/null +++ b/matrices/script.rst @@ -0,0 +1,265 @@ +.. 4.3 LO: Matrices (3) [anoop] +.. ----------------------------- +.. * creating matrices +.. + direct data +.. + list conversion +.. + builtins - identitiy, zeros, +.. * matrix operations +.. + + - * / +.. + dot +.. + inv +.. + det +.. + eig +.. + norm +.. + svd + +======== +Matrices +======== +{{{ show the welcome slide }}} + +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. + +{{{ creating a matrix }}} + +All matrix operations are done using arrays. Thus all the operations +on arrays are valid on matrices also. A matrix may be created as, +:: + + m1 = matrix([1,2,3,4]) + +Using the tuple ``m1.shape`` we can find out the shape or size of the +matrix, +:: + + m1.shape + +Since it is a one row four column matrix it returned a tuple, one by +four. + +A list can be converted to a matrix as follows, +:: + + l1 = [[1,2,3,4],[5,6,7,8]] + m2 = matrix(l1) + +Note that all matrix operations are done using arrays, so a matrix may +also be created as +:: + + m3 = array([[5,6,7,8],[9,10,11,12]]) + +{{{ switch to next slide, matrix operations }}} + +We can do matrix addition and subtraction as, +:: + + m3 + m2 + +does element by element addition, thus matrix addition. + +Similarly, +:: + + m3 - m2 + +it does matrix subtraction, that is element by element +subtraction. Now let us try, +:: + + m3 * m2 + +Note that in arrays ``array(A) star array(B)`` does element wise +multiplication and not matrix multiplication, but unlike arrays, the +operation ``matrix(A) star matrix(B)`` does matrix multiplication and +not element wise multiplication. And in this case since the sizes are +not compatible for multiplication it returned an error. + +And element wise multiplication in matrices are done using the +function ``multiply()`` +:: + + multiply(m3,m2) + +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 +first create two matrices which are compatible for multiplication. +:: + + m1.shape + +matrix m1 is of the shape one by four, let us create another one of +the order four by two, +:: + + m4 = matrix([[1,2],[3,4],[5,6],[7,8]]) + m1 * m4 + +thus unlike in array object ``star`` can be used for matrix multiplication +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. + +{{{ switch to next slide, matrix operations }}} + +To find out the transpose of a matrix we can do, +:: + + print m4 + m4.T + +Matrix name dot capital T will give the transpose of a matrix + +{{{ switch to next slide, Euclidean norm of inverse of matrix }}} + +Now let us try to find out the Euclidean norm of inverse of a 4 by 4 +matrix, the matrix being, +:: + + m5 = matrix(arange(1,17).reshape(4,4)) + print m5 + +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)``. + +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, +:: + + sum = 0 + for each in array(im5.flatten())[0]: + sum += each * each + print sqrt(sum) + +{{{ switch to next slide, infinity norm }}} + +Now try to find out the infinity norm of the matrix im5. The infinity +norm of a matrix is defined as the maximum value of sum of the +absolute of elements in each row. Pause here and try to solve the +problem yourself. + +The solution for the problem is, +:: + + sum_rows = [] + for i in im5: + sum_rows.append(abs(i).sum()) + print max(sum_rows) + +{{{ switch to slide the ``norm()`` method }}} + +Well! to find the Euclidean 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, +we do, +:: + + norm(im5) + +And to find out the Infinity norm of the matrix im5, we do, +:: + + norm(im5,ord=inf) + +This is easier when compared to the code we wrote. Do ``norm`` +question mark to read up more about ord and the possible type of norms +the norm function produces. + +{{{ switch to next slide, determinant }}} + +Now let us find out the determinant of a the matrix m5. + +The determinant of a square matrix can be obtained using the function +``det()`` and the determinant of m5 can be found out as, +:: + + det(m5) + +{{{ switch to next slide, eigen vectors and eigen values }}} + +The eigen values and eigen vector of a square matrix can be computed +using the function ``eig()`` and ``eigvals()``. + +Let us find out the eigen values and eigen vectors of the matrix +m5. We can do it as, +:: + + eig(m5) + +Note that it returned a tuple of two matrices. The first element in +the tuple are the eigen values and the second element in the tuple are +the eigen vectors. Thus the eigen values are, +:: + + eig(m5)[0] + +and the eigen vectors are, +:: + + eig(m5)[1] + +The eigen values can also be computed using the function ``eigvals()`` as, +:: + + eigvals(m5) + +{{{ switch to next slide, singular value decomposition }}} + +Now let us learn how to do the singular value decomposition or S V D +of a matrix. + +Suppose M is an m×n matrix whose entries come from the field K, which +is either the field of real numbers or the field of complex +numbers. Then there exists a factorization of the form + + M = U\Sigma V star + +where U is an (m by m) unitary matrix over K, the matrix \Sigma is an +(m by n) diagonal matrix with nonnegative real numbers on the +diagonal, and V*, an (n by n) unitary matrix over K, denotes the +conjugate transpose of V. Such a factorization is called the +singular-value decomposition of M. + +The SVD of matrix m5 can be found as +:: + + svd(m5) + +Notice that it returned a tuple of 3 elements. The first one U the +next one Sigma and the third one V star. + +{{{ switch to next slide, recap slide }}} + +So this brings us to the end of this tutorial. In this tutorial, we +learned about matrices, creating matrices, matrix operations, inverse +of matrices, determinant, norm, eigen values and vectors and singular +value decomposition of matrices. + +{{{ switch to next slide, thank you }}} + +Thank you! + +.. Author: Anoop Jacob Thomas <anoop@fossee.in> + Reviewer 1: + Reviewer 2: + External reviewer: diff --git a/other_type_of_plots.rst b/other-type-of-plots/script.rst index 010045b..010045b 100644 --- a/other_type_of_plots.rst +++ b/other-type-of-plots/script.rst diff --git a/other_types_of_plots.rst b/other_types_of_plots.rst deleted file mode 100644 index 010045b..0000000 --- a/other_types_of_plots.rst +++ /dev/null @@ -1,220 +0,0 @@ -.. 2.4 LO: other types of plots (3) [anoop] -.. ----------------------------------------- -.. * scatter -.. * pie chart -.. * bar chart -.. * log -.. * illustration of other plots, matplotlib help - -=================== -Other type of plots -=================== - -{{{ show the first slide }}} - -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 -the matplotlib help. - - -Let us start with scatter plot. - -{{{ switch to the next slide }}} - -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 -horizontal axis and the value of the other variable determining the -position on the vertical axis. This kind of plot is also called a -scatter chart, scatter diagram and scatter graph. - -Before we proceed further get your IPython interpreter running with -the ``-pylab`` option. Start your IPython interpreter as -:: - - ipython -pylab - -{{{ open the ipython interpreter in the terminal using the command -ipython -pylab }}} - -{{{ switch to the next slide having the problem statement of first -exercise }}} - -Now, let us plot a scatter plot showing the percentage profit of company A -from the year 2000-2010. The data for the same is available in the -file ``company-a-data.txt``. - -{{{ open the file company-a-data.txt and show the content }}} - -The data file has two lines with a set of values in each line, the -first line representing years and the second line representing the -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, -and it can be done as :: - - year,profit = loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int())) - -Now in-order to generate the scatter graph we will use the function -``scatter()`` -:: - - scatter(year,profit) - -Notice that we passed two arguments to ``scatter()`` function, first -one the values in x-coordinate, year, and the other the values in -y-coordinate, the profit percentage. - -{{{ switch to the next slide which has the problem statement of -problem to be tried out }}} - -Now here is a question for you to try out, plot the same data with red -diamonds. - -**Clue** - *try scatter? in your ipython interpreter* - -.. scatter(year,profit,color='r',marker='d') - -Now let us move on to pie chart. - -{{{ switch to the slide which says about pie chart }}} - -A pie chart or a circle graph is a circular chart divided into -sectors, illustrating proportion. - -{{{ switch to the slide showing the problem statement of second -exercise question }}} - -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. - -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. - -{{{ switch to the next slide which has the problem statement of -problem to be tried out }}} - -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* - -.. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b')) - -{{{ switch to the slide which says about bar chart }}} - -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 -exercise question }}} - -Plot a bar 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. - -We can plot the bar chart using the function ``bar()``. -:: - - bar(year,profit) - -Note that the function ``bar()`` needs at least two arguments one the -values in x-coordinate and the other values in y-coordinate which is -used to determine the height of the bars. - -{{{ switch to the next slide which has the problem statement of -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. - -**Clue** - *try bar? in your ipython interpreter* - -.. bar(year,profit,fill=False,hatch='/') - -{{{ switch to the slide which says about bar chart }}} - -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 -on both the horizontal and vertical axes. Because of the nonlinear -scaling of the axes, a function of the form y = ax\ :sup:`b` will -appear as a straight line on a log-log graph - -{{{ switch to the slide showing the problem statement of fourth -exercise question }}} - - -Plot a `log-log` chart of y=5*x\ :sup:`3` for x from 1-20. - -Before we actually plot let us calculate the points needed for -that. And it could be done as, -:: - - x = linspace(1,20,100) - y = 5*x**3 - -Now we can plot the log-log chart using ``loglog()`` function, -:: - - loglog(x,y) - -To understand the difference between a normal ``plot`` and a ``log-log -plot`` let us create another plot using the function ``plot``. -:: - - figure(2) - plot(x,y) - -{{{ show both the plots side by side }}} - -So that was ``log-log() plot``. - -{{{ switch to the next slide which says: "How to get help on -matplotlib online"}}} - -Now we will see few more plots and also see how to access help of -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 }}} - -{{{ switch to recap 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 -and covered how to access the matplotlib online help. - -{{{ switch to the thank you slide }}} - -Thank you! - -.. Author: Anoop Jacob Thomas <anoop@fossee.in> - Reviewer 1: - Reviewer 2: - External reviewer: diff --git a/plotting_using_sage/quickref.tex b/plotting_using_sage/quickref.tex new file mode 100644 index 0000000..a0212b3 --- /dev/null +++ b/plotting_using_sage/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/plotting_using_sage/script.rst b/plotting_using_sage/script.rst new file mode 100644 index 0000000..bcef0dc --- /dev/null +++ b/plotting_using_sage/script.rst @@ -0,0 +1,257 @@ +.. Objectives +.. ---------- + +.. A - Students and teachers from Science and engineering backgrounds + B - + C - + D - + +.. Prerequisites +.. ------------- + +.. 1. Getting started with lists + +.. Author : Nishanth Amuluru + Internal Reviewer : + External Reviewer : + Checklist OK? : <put date stamp here, if OK> [2010-10-05] + +Script +------ + +Hello friends, welcome to the tutorial on "Plotting using SAGE". + +{{{ Show the outline slide }}} + +In this tutorial we shall look at + + * 2D plotting in SAGE + * 3D plotting in SAGE + +We shall first create a symbolic variable ``x`` +:: + + x = var('x') + +We shall plot the function ``sin(x) - cos(x) ^ 2`` in the range (-5, 5). +:: + + plot(sin(x) - cos(x) ^ 2, (x, -5, 5)) + +As we can see, the plot is shown. + +``plot`` command takes the symbolic function as the first argument and the +range as the second argument. + +{{{ Pause here and try out the following exercises }}} + +%% 1 %% Define a variable ``y`` and plot the function ``y^2 + 5y - 7`` in the + range (-3, 3) + +{{{ continue from paused state }}} + +:: + + y = var('y') + plot(y^2 + 5*y -7, (y, -3, 3)) + +We have seen that plot command plots the given function on a linear range. + +What if the x and y values are functions of another variable. +For instance, lets plot the trajectory of a projectile. + +A projectile was thrown at 50 m/s^2 and at an angle of 45 degrees from the +ground. We shall plot the trajectory of the particle for 5 seconds. + +These types of plots can be drawn using the parametric_plot function. +We first define the time variable. +:: + + t = var('t') + +Then we define the x and y as functions of t. +:: + + f_x = 50 * cos(pi/4) + f_y = 50 * sin(pi/4) * t - 1/2 * 9.81 * t^2 ) + +We then call the ``parametric_plot`` function as +:: + + parametric_plot((f_x, f_y), (t, 0, 5)) + +And we can see the trajectory of the projectile. + +The ``parametric_plot`` funciton takes a tuple of two functions as the first +argument and the range over which the independent variable varies as the second +argument. + +{{{ Pause here and try out the following exercises }}} + +%% 2 %% A particle is thrown into the air at 10 m/s^2 and at angle of 60 degrees + from the top of a 100 m tower. Plot the trajectory of the particle. + +{{{ continue from paused state }}} + +:: + + t = var('t') + f_x = 10 * cos(pi/3) * t + f_y = 100 + 10 * sin(pi/3) * t - 1/2 * 9.81 * t^2 + parametric_plot((f_x, f_y), (t,0,5)) + +Now we shall look at how to plot a set of points. + +We have the ``line`` function to acheive this. + +We shall plot sin(x) at few points and join them. + +First we need the set of points. +:: + + points = [ (x, sin(x)) for x in srange(-2*float(pi), 2*float(pi), 0.75) ] + +``srange`` takes a start, a stop and a step argument and returns a list of +point. We generate list of tuples in which the first value is ``x`` and second +is ``sin(x)``. + +:: + + line(points) + +plots the points and joins them with a line. + +{{{ Pause here and try out the following exercises }}} + +%% 3 %% Plot the cosine function using line function. + +{{{ continue from paused state }}} + +:: + + points = [ (x, cos(x)) for x in srange(-2*float(pi), 2*float(pi), 0.75) ] + line(points) + +The ``line`` function behaves like the plot command in matplotlib. The +difference is that ``plot`` command takes two sequences while line command +expects a sequence of co-ordinates. + +As we can see, the axes limits are set by SAGE. Often we would want to set them +ourselves. Moreover, the plot is shown here since the last command that is +executed produces a plot. + +Let us try this example +:: + + plot(cos(x), (x,0,2*pi)) + # Does the plot show up?? + +As we can see here, the plot is not shown since the last command does not +produce a plot. + +The actual way of showing a plot is to use the ``show`` command. + +:: + + p1 = plot(cos(x), (x,0,2*pi)) + show(p1) + # What happens now?? + +As we can see the plot is shown since we used it with ``show`` command. + +``show`` command is also used set the axes limits. + +:: + + p1 = plot(cos(x), (x,0,2*pi)) + show(p1, xmin=0, xmax=2*pi, ymin=-1.2, ymax=1.2) + +As we can see, we just have to pass the right keyword arguments to the ``show`` +command to set the axes limits. + +{{{ Pause here and try out the following exercises }}} + +%% 4 %% Plot the cosine function in the range (-2pi, 2pi) and set the x-axis + limits to (-5, 5) and y-axis limits to (-2, 2) respectively. + +{{{ continue from paused state }}} + +:: + + p1 = plot(cos(x), (x, 0, 2*pi)) + show(p1, xmin=-5, xmax=5, ymin=-2, ymax=2) + +The ``show`` command can also be used to show multiple plots. +:: + + p1 = plot(cos(x), (x, 0, 2*pi)) + p2 = plot(sin(x), (x, 0, 2*pi)) + show(p1+p2) + +As we can see, we can add the plots and use them in the ``show`` command. + +{{{ Pause here and try out the following exercises }}} + +%% 5 %% Plot sin(x) and sin(2*x) in the range (0, 2pi) + +{{{ continue from paused state }}} + +:: + + p1 = plot(sin(x), (x, 0, 2*pi)) + p2 = plot(sin(2*x), (x, 0, 2*pi)) + show(p1+p2) + +Now we shall look at 3D plotting in SAGE. + +We have the ``plot3d`` function that takes a function in terms of two +independent variables and the range over which they vary. + +:: + + x, y = var('x y') + plot3d(x^2 + y^2, (x, 0, 2), (y, 0, 2)) + +We get a 3D plot which can be rotated and zoomed using the mouse. + +{{{ Pause here and try out the following exercises }}} + +%% 6 %% Plot the function sin(x)^2 + cos(y)^2 for x in range (0,2) and y in + range (-2, 2) + +{{{ continue from paused state }}} + +:: + + x, y = var("x y") + plot3d( sin(x)^2 + cos(y)^2, (x, 0, 2), (y, -2, 2)) + +``parametric_plot3d`` function plots the surface in which x, y and z are +functions of another variable. + +:: + + u, v = var("u v") + f_x = u + f_y = v + f_z = u^2 + v^2 + parametric_plot3d((f_x, f_y, f_z), (u, 0, 2), (v, 0, 2)) + +{{{ Show summary slide }}} + +This brings us to the end of the tutorial. +we have learnt + + * How to draw 2D plots using plot comand + * How to use the parametric_plot and line functions + * How to use show command for multiple plots and setting axes limits + * How to draw 3D plots + +{{{ 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 + diff --git a/plotting_using_sage/slides.tex b/plotting_using_sage/slides.tex new file mode 100644 index 0000000..df1462c --- /dev/null +++ b/plotting_using_sage/slides.tex @@ -0,0 +1,106 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%Tutorial slides on Python. +% +% Author: FOSSEE +% Copyright (c) 2009, FOSSEE, IIT Bombay +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +\documentclass[14pt,compress]{beamer} +%\documentclass[draft]{beamer} +%\documentclass[compress,handout]{beamer} +%\usepackage{pgfpages} +%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm] + +% Modified from: generic-ornate-15min-45min.de.tex +\mode<presentation> +{ + \usetheme{Warsaw} + \useoutertheme{infolines} + \setbeamercovered{transparent} +} + +\usepackage[english]{babel} +\usepackage[latin1]{inputenc} +%\usepackage{times} +\usepackage[T1]{fontenc} + +\usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} +\usepackage[scaled=.95]{helvet} + +\definecolor{darkgreen}{rgb}{0,0.5,0} + +\usepackage{listings} +\lstset{language=Python, + basicstyle=\ttfamily\bfseries, + commentstyle=\color{red}\itshape, + stringstyle=\color{darkgreen}, + showstringspaces=false, + keywordstyle=\color{blue}\bfseries} + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% Macros +\setbeamercolor{emphbar}{bg=blue!20, fg=black} +\newcommand{\emphbar}[1] +{\begin{beamercolorbox}[rounded=true]{emphbar} + {#1} + \end{beamercolorbox} +} +\newcounter{time} +\setcounter{time}{0} +\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}} + +\newcommand{\typ}[1]{\lstinline{#1}} + +\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} } + +% Title page +\title{Your Title Here} + +\author[FOSSEE] {FOSSEE} + +\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay} +\date{} + +% DOCUMENT STARTS +\begin{document} + +\begin{frame} + \maketitle +\end{frame} + +\begin{frame}[fragile] + \frametitle{Outline} + \begin{itemize} + \item + \end{itemize} +\end{frame} + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%% All other slides here. %% +%% The same slides will be used in a classroom setting. %% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +\begin{frame}[fragile] + \frametitle{Summary} + \begin{itemize} + \item + \end{itemize} +\end{frame} + +\begin{frame} + \frametitle{Thank you!} + \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.rst b/savefig/script.rst index 013ef06..506428e 100644 --- a/savefig.rst +++ b/savefig/script.rst @@ -1,3 +1,10 @@ +.. 2.5 LO: saving plots (2) +.. ------------------------- +.. * Outline +.. + basic savefig +.. + png, pdf, ps, eps, svg +.. + going to OS and looking at the file + ======= Savefig ======= @@ -60,7 +67,7 @@ file browser. {{{ Open the browser, navigate to /home/fossee and highlight the file sine.png }}} -Yes, the file ``sine.png`` is here and let us check the it. +Yes, the file ``sine.png`` is here and let us check it. {{{ Open the file sine.png and show it for two-three seconds and then close it and return to IPython interpreter, make sure the plot window @@ -72,7 +79,7 @@ format, ps - post script, eps - encapsulated post script, svg - scalable vector graphics, png - portable network graphics which support transparency etc. -#[slide must give the extensions for the files - Anoop] +.. #[[slide must give the extensions for the files - Anoop]] 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 @@ -80,8 +87,8 @@ documents. {{{ Switch focus to the already open plot window }}} -We still have the old sine plot with us, and now let us save the plot -as ``sine.eps``. +We still have the sine plot with us, and now let us save the plot as +``sine.eps``. {{{ Switch focus to IPython interpreter }}} diff --git a/using python modules/four_plot.png b/using python modules/four_plot.png Binary files differnew file mode 100644 index 0000000..00a3a7a --- /dev/null +++ b/using python modules/four_plot.png diff --git a/using python modules/four_plot.py b/using python modules/four_plot.py new file mode 100644 index 0000000..b158717 --- /dev/null +++ b/using python modules/four_plot.py @@ -0,0 +1,11 @@ +x=linspace(-5*pi, 5*pi, 500) +plot(x, x, 'b') +plot(x, -x, 'b') +plot(x, sin(x), 'g', linewidth=2) +plot(x, x*sin(x), 'r', linewidth=3) +legend(['x', '-x', 'sin(x)', 'xsin(x)']) +annotate('origin', xy = (0, 0)) +title('Four Plot') +xlim(-5*pi, 5*pi) +ylim(-5*pi, 5*pi) +#show() diff --git a/using python modules/script.rst b/using python modules/script.rst new file mode 100644 index 0000000..aa00863 --- /dev/null +++ b/using python modules/script.rst @@ -0,0 +1,227 @@ +.. 9.3 LO: using python modules (3) +.. --------------------------------- +.. * executing python scripts from command line +.. * import +.. * scipy +.. * pylab +.. * sys +.. * STDLIB modules show off + +==================== +Using Python modules +==================== +{{{ show the welcome slide }}} + +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. + +{{{ switch to next slide on executing python scripts from command line }}} + +Let us create a simple python script to print hello world. Open your +text editor and type the following, + +{{{ open the text editor and type the following }}} +:: + + print "Hello world!" + print + +and save the script as hello.py, + +{{{ save the script as hello.py }}} + +Till now we saw how to run a script using the IPython interpreter +using the +:: + + %run -i hello.py + +option, but that is not the correct way of running a python +script. + +The correct method is to run it using the Python interpreter. Open the +terminal and navigate to the directory where hello.py is, + +{{{ open terminal and navigate to directory where hello.py was saved }}} + +now run the Python script as, +:: + + python hello.py + +It executed the script and we got the output ``Hello World!``. + +{{{ highlight ``python filename`` syntax on slide while narrating }}} + +The syntax is python space filename. + +Now recall the four plot problem where we plotted four plots in a single +figure. Let us run that script from command line. + +If you don't have the script, + +{{{ open the four_plot.py file in text editor }}} + +just pause here and create a python script with the following lines +and save it as four_plot.py. + +Now let us run four_plot.py as a python script. +:: + + python four_plot.py + +Oops! even though it was supposed to work, it didn't. It gave an error +``linspace()`` is not defined, which means that the function +``linspace()`` is not available in the current name-space. + +But if you try to run the same script using ``%run -i four_plot.py`` +in your IPython interpreter started with the option ``-pylab`` it will +work, because the ``-pylab`` option does some work for us by importing +the required modules to our name-space when ipython interpreter +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, + +add the following line as the first line in the script, +{{{ add the line as first line in four_plot.py and save }}} +:: + + from scipy import * + +Now let us run the script again, +:: + + python four_plot.py + +Now it gave another error plot not defined, let us edit the file again +and add the line below the line we just added, +{{{ add the line as second line in four_plot.py and save }}} +:: + + from pylab import * + +And run the script, +:: + + python four_plot.py + +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, + +{{{ highlight the following in slide and say it loud }}} +:: + + from scipy import linspace + +instead of, +:: + + from scipy import * + +So in practice it is always good to use function names instead of +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. + +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 + +{{{ switch to next slide }}} +it could also be done 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) + + +Notice that we use ``scipy.pi`` instead of just ``pi`` as in the +previous method, and the functions are called as ``pylab.plot()`` and +``pylab.annotate()`` and not as ``plot()`` and ``annotate()``. + +{{{ switch to next slide, problem statement }}} + +Write a script to plot a sine wave from minus two pi to two pi. + +Pause here and try to solve the problem yourself before looking at the +solution. + +It can solved as, + +{{{ open sine.py and show it }}} + +the first line we import the required functions ``linspace()`` and +``sin()`` and constant ``pi`` from the module scipy. the second and +third line we import the functions ``plot()``, ``legend()``, +``show()``, ``title()``, ``xlabel()`` and ``ylabel()``. And the rest +the code to generate the plot. + +We can run it as, +{{{ now switch focus to terminal and run the script }}} +:: + + python sine.py + +{{{ switch to next slide, What is a module? }}} + +So till now we have been learning about importing modules, now what is +a module? + +A 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. + +{{{ switch to next slide, Python standard library }}} + +Python has a very rich standard library of modules + +Python's standard library is very extensive, offering a wide range of +facilities. Some of the standard modules are, + +for Math: math, random +for Internet access: urllib2, smtplib +for System, Command line arguments: sys +for Operating system interface: os +for regular expressions: re +for compression: gzip, zipfile, tarfile +And there are lot more. + +Find more information at Python Library reference, +``http://docs.python.org/library/`` + +The modules pylab, scipy, Mayavi are not part of the standard python +library. + +{{{ switch to next slide, recap }}} + +This brings us to the end of this tutorial, in this tutorial we +learned running scripts from command line, learned about modules, saw +the python standard library. + +{{{ switch to next slide, thank you slide }}} + +Thank you! + +.. Author: Anoop Jacob Thomas <anoop@fossee.in> + Reviewer 1: + Reviewer 2: + External reviewer: diff --git a/using python modules/sine.py b/using python modules/sine.py new file mode 100644 index 0000000..109308e --- /dev/null +++ b/using python modules/sine.py @@ -0,0 +1,11 @@ +from scipy import linspace, pi, sin +from pylab import plot, legend, show, title +from pylab import xlabel, ylabel + +x = linspace(-2*pi,2*pi,100) +plot(x,sin(x)) +legend(['sin(x)']) +title('Sine plot') +xlabel('x') +ylabel('sin(x)') +show() diff --git a/using_sage_to_teach.rst b/using_sage_to_teach.rst index 6eaed6c..32fa8dc 100644 --- a/using_sage_to_teach.rst +++ b/using_sage_to_teach.rst @@ -11,6 +11,14 @@ In this tutorial, we shall learn * 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 diff --git a/using_sage_to_teach/quickref.tex b/using_sage_to_teach/quickref.tex new file mode 100644 index 0000000..a0212b3 --- /dev/null +++ b/using_sage_to_teach/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/using_sage_to_teach/script.rst b/using_sage_to_teach/script.rst new file mode 100644 index 0000000..0316a31 --- /dev/null +++ b/using_sage_to_teach/script.rst @@ -0,0 +1,181 @@ +.. Objectives +.. ---------- + +.. A - Students and teachers from Science and engineering backgrounds + B - + C - + D - + +.. Prerequisites +.. ------------- + +.. 1. Getting started with lists + +.. 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 "Using SAGE to teach" + +{{{ Show the slide containing title }}} + +{{{ Show the slide containing the outline slide }}} + +In this tutorial, we shall learn + + * How to use the "@interact" feature of SAGE for better demonstration + * How to use SAGE for collaborative learning + +Let us look at a typical example of demonstrating a damped oscillation. +:: + + t = var('t') + p1 = plot( e^(-t) * sin(2*t), (t, 0, 15)) + show(p1) + +Now let us reduce the damping factor +:: + + t = var('t') + p1 = plot( e^(-t/2) * sin(2*t), (t, 0, 15)) + show(p1) + +Now if we want to reduce the damping factor even more, we would be using +e^(-t/3). We can observe that every time we have to change, all we do is change +something very small and re evaluate the cell. + +This process can be automated using the ``@interact`` feature of SAGE. + +:: + + @interact + def plot_damped(n=1): + t = var('t') + p1 = plot( e^(-t/n) * sin(2*t), (t, 0, 20)) + show(p1) + +We can see that the function is evaluated and the plot is shown. We can also +see that there is a field to enter the value of ``n`` and it is currently set +to ``1``. Let us change it to 2 and hit enter. + +We see that the new plot with reduced damping factor is shown. Similarly we can +change ``n`` to any desired value and hit enter and the function will be +evaluated. + +This is a very handy tool while demonstrating or teaching. + +{{{ Pause here and try out the following exercises }}} + +%% 1 %% Plot the sine curve and vary its frequency using the ``@interact`` + +{{{ continue from paused state }}} + +:: + + @interact + def sine_plot(n=1): + x = var('x') + p2 = plot(sin(n*x), (x, 0, 2*pi)) + show(p2) + +Often we would want to vary a parameter over range instead of taking it as an +input from the user. For instance we do not want the user to give ``n`` as 0 +for the damping oscillation we discussed. In such cases we use a range of +values as the default argument. +:: + + @interact + def plot_damped(n=(1..10)): + t = var('t') + p1 = plot( e^(-t/n) * sin(2*t), (t, 0, 20)) + show(p1) + +We get similar plot but the only difference is the input widget. Here it is a +slider unlike an input field. We can see that as the slider is moved, the +function is evaluated and plotted accordingly. + +{{{ Pause here and try out the following exercises }}} + +%% 2 %% Take a string as input from user and circular shift it to the left and + vary the shift length using a slider + +{{{ continue from paused state }}} + +:: + + @interact + def str_shift(s="MADAM", shift=(0..8)): + shift_len = shift % len(s) + chars = list(s) + shifted_chars = chars[shift_len:] + chars[:shift_len] + print "Actual String:", s + print "Shifted String:", "".join(shifted_chars) + +Sometimes we want the user to have only a given set of options. We use a list +of items as the default argument in such situations. +:: + + @interact + def str_shift(s="STRING", shift=(0..8), direction=["Left", "Right"]): + shift_len = shift % len(s) + chars = list(s) + if direction == "Right": + shifted_chars = chars[-shift_len:] + chars[:-shift_len] + else: + shifted_chars = chars[shift_len:] + chars[:shift_len] + print "Actual String:", s + print "Shifted String:", "".join(shifted_chars) + +We can see that buttons are displayed which enables us to select from a given +set of options. + +We have learnt how to use the ``@interact`` feature of SAGE for better +demonstration. We shall look at how to use SAGE worksheets for collaborative +learning. + +The first feature we shall see is the ``publish`` feature. Open a worksheet and +in the top right, we can see a button called ``publish``. Click on that and we +get a confirmation page with an option for re publishing. + +For now lets forget that opion and simply publish by cliking ``yes``. The +worksheet is now published. + +Now lets signout and go to the sage notebook home. We see link to browse +published worksheets. Lets click on it and we can see the worksheet. This does +not require login and anyone can view the worksheet. + +Alternatively, if one wants to edit the sheet, there is a link on top left +corner that enables the user to download a copy of the sheet onto their home. +This way they can edit a copy of the worksheet. + +We have learnt how to publish the worksheets to enable users to edit a copy. +Next, we shall look at how to enable users to edit the actual worksheet itself. + +Let us open the worksheet and we see a link called ``share`` on the top right +corner of the worksheet. Click the link and we get a box where we can type the +usernames of users whom we want to share the worksheet with. We can even +specify multiple users by seperating their names using commas. Once we have +shared the worksheet, the worksheet appears on the home of shared users. + +{{{ Show summary slide }}} + +This brings us to the end of the tutorial. +we have learnt + + * How to user interactive feaures of SAGE + * How to publish our work + * How to edit a copy of one of the published worksheets + * How to share the worksheets with fellow users + +{{{ 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 + diff --git a/using_sage_to_teach/slides.tex b/using_sage_to_teach/slides.tex new file mode 100644 index 0000000..df1462c --- /dev/null +++ b/using_sage_to_teach/slides.tex @@ -0,0 +1,106 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%Tutorial slides on Python. +% +% Author: FOSSEE +% Copyright (c) 2009, FOSSEE, IIT Bombay +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +\documentclass[14pt,compress]{beamer} +%\documentclass[draft]{beamer} +%\documentclass[compress,handout]{beamer} +%\usepackage{pgfpages} +%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm] + +% Modified from: generic-ornate-15min-45min.de.tex +\mode<presentation> +{ + \usetheme{Warsaw} + \useoutertheme{infolines} + \setbeamercovered{transparent} +} + +\usepackage[english]{babel} +\usepackage[latin1]{inputenc} +%\usepackage{times} +\usepackage[T1]{fontenc} + +\usepackage{ae,aecompl} +\usepackage{mathpazo,courier,euler} +\usepackage[scaled=.95]{helvet} + +\definecolor{darkgreen}{rgb}{0,0.5,0} + +\usepackage{listings} +\lstset{language=Python, + basicstyle=\ttfamily\bfseries, + commentstyle=\color{red}\itshape, + stringstyle=\color{darkgreen}, + showstringspaces=false, + keywordstyle=\color{blue}\bfseries} + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% Macros +\setbeamercolor{emphbar}{bg=blue!20, fg=black} +\newcommand{\emphbar}[1] +{\begin{beamercolorbox}[rounded=true]{emphbar} + {#1} + \end{beamercolorbox} +} +\newcounter{time} +\setcounter{time}{0} +\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}} + +\newcommand{\typ}[1]{\lstinline{#1}} + +\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} } + +% Title page +\title{Your Title Here} + +\author[FOSSEE] {FOSSEE} + +\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay} +\date{} + +% DOCUMENT STARTS +\begin{document} + +\begin{frame} + \maketitle +\end{frame} + +\begin{frame}[fragile] + \frametitle{Outline} + \begin{itemize} + \item + \end{itemize} +\end{frame} + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%% All other slides here. %% +%% The same slides will be used in a classroom setting. %% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +\begin{frame}[fragile] + \frametitle{Summary} + \begin{itemize} + \item + \end{itemize} +\end{frame} + +\begin{frame} + \frametitle{Thank you!} + \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} |
