From dfd30ccfe16229203702ae0332165e14fdaf80cf Mon Sep 17 00:00:00 2001
From: Shantanu
Date: Tue, 22 Dec 2009 14:10:37 +0530
Subject: commited changes made for scipy and cheatsheats.

---
 day1/cheatsheet4.tex | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'day1/cheatsheet4.tex')

diff --git a/day1/cheatsheet4.tex b/day1/cheatsheet4.tex
index d04609a..d89e8a2 100755
--- a/day1/cheatsheet4.tex
+++ b/day1/cheatsheet4.tex
@@ -28,7 +28,7 @@
 Matrix Creation\\
 \typ{In []: C = array([[1,1,2], [2,4,1], [-1,3,7]])}\\
 It creates C matrix of shape 3x3\\
-Shape is dimenions of given array.
+Shape is dimensions of given array.
 \begin{lstlisting}
 In []: C.shape 
 Out[]: (3, 3)
@@ -38,7 +38,7 @@ Out[]: (3, 2)
 \typ{In []: B = ones_like(C)} \\
 B would be array of ones with the same shape and type as C.\\
 \typ{In []: A = ones((3,2))} \\
-A would be new array of given shape(arguments), filled with ones.\\ 
+A would be new matrix of given shape(arguments), filled with ones.\\ 
 \typ{In []: I = identity(3)}\\
 I would be identity matrix of shape 3x3
 
@@ -77,7 +77,7 @@ array([[ 1,  1,  2],
 \end{lstlisting}
 
 \subsection{Slicing}
-Accessing rows with Matricies is straightforward. But If one wants to access particular Column, or want a sub-matrix, Slicing is the way to go.
+Accessing rows with Matrices is straightforward. But If one wants to access particular Column, or want a sub-matrix, Slicing is the way to go.
 \begin{lstlisting}
 In []: C[:,1]
 Out[]: array([1, 0, 3])
-- 
cgit