--- a/day1/cheatsheet1.tex	Tue Dec 08 13:06:14 2009 +0530
+++ b/day1/cheatsheet1.tex	Tue Dec 08 16:37:18 2009 +0530
@@ -44,7 +44,7 @@
 
 \subsection{plot}
 \typ{In []: plot(X, Y)}\\
-For given arrays of equal length(above case X and Y), \typ{plot} plots the correspoding *x* and *y* pairs taken from X and Y.
+For given arrays of equal length(above case X and Y), \typ{plot} plots the corresponding *x* and *y* pairs taken from X and Y.
 
 \subsection{Colors of plots}
 \typ{In []: plot(y, sin(y), 'g')}\\
@@ -78,7 +78,7 @@
 
 \subsection{legends}
 \typ{In []: legend('sin(x)',loc=center)} \\
-Placec a legend on the current plot at location *loc*.\\
+Places a legend on the current plot at location *loc*.\\
 Apart from \typ{center}, some other \typ{loc} which can be specified are:
 \begin{lstlisting}
 'best'

--- a/day1/cheatsheet2.tex	Tue Dec 08 13:06:14 2009 +0530
+++ b/day1/cheatsheet2.tex	Tue Dec 08 16:37:18 2009 +0530
@@ -119,11 +119,11 @@
 Out[]: ['hello', 'world']
 In []: greet = ``hello, world''
 In []: print greet.split(',')
-Out[]: ['hello', ' world'] # Note the whitespace before 'world'
+Out[]: ['hello', ' world'] # Note the white space before 'world'
 \end{lstlisting}
 A string can be split based on the delimiter specified within quotes. A combination of more than one delimiter can also be used.\\
 \typ{In []: greet.split(', ')}\\
-\typ{Out[]: ['hello', 'world']}\\Note the whitespace is not there anymore.
+\typ{Out[]: ['hello', 'world']}\\Note the white space is not there anymore.
 \newpage
 \section{Plotting from Files}
 \subsection{Opening files}

--- a/day1/cheatsheet4.tex	Tue Dec 08 13:06:14 2009 +0530
+++ b/day1/cheatsheet4.tex	Tue Dec 08 16:37:18 2009 +0530
@@ -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)
@@ -52,7 +52,7 @@
 In []: C[1,2]
 Out[]: 1
 \end{lstlisting}
-Two indexes seperated by \typ{','} specifies [row, column]. So \typ{C[1,2]} gets third element of second row(indices starts from 0).
+Two indexes separated by \typ{','} specifies [row, column]. So \typ{C[1,2]} gets third element of second row(indices starts from 0).
 \newpage
 \begin{lstlisting}
 In []: C[1]
@@ -77,7 +77,7 @@
 \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])
@@ -123,7 +123,7 @@
 \typ{':2'} => Start from first column, till and excluding third column.
 \newpage
 \subsection{Striding}
-Often apart from submatrix, one needs to get some mechanism to jump a step. For example, how can we have all alternate rows of a Matrix. \\
+Often apart from sub-matrix, one needs to get some mechanism to jump a step. For example, how can we have all alternate rows of a Matrix. \\
 Following method will return Matrix with alternate rows.
 \begin{lstlisting}
 In []: C[::2,:]

--- a/day1/cheatsheet5.tex	Tue Dec 08 13:06:14 2009 +0530
+++ b/day1/cheatsheet5.tex	Tue Dec 08 16:37:18 2009 +0530
@@ -15,7 +15,7 @@
 #load data file directly into Arrays.
 \end{verbatim}
 \section{}
-Interploate
+Interpolate
 \begin{verbatim}
 In []: from scipy.interpolate import splrep
 In []: tck = splrep(x,y) #get spline curve representation for x,y.

--- a/day1/cheatsheet6.tex	Tue Dec 08 13:06:14 2009 +0530
+++ b/day1/cheatsheet6.tex	Tue Dec 08 16:37:18 2009 +0530
@@ -24,7 +24,7 @@
 \large{FOSSEE}
 \end{center}
 \section{Solving linear equations}
-Condier following sets of equations:\\
+Consider following sets of equations:\\
   \begin{align*}
     3x + 2y - z  & = 1 \\
     2x - 2y + 4z  & = -2 \\
@@ -82,7 +82,7 @@
 In [96]: expression(pi/3)
 Out[96]: 0.90689968211710881
 \end{lstlisting}
-\subsection{Roots of non-linear eqations}
+\subsection{Roots of non-linear equations}
 For Finding the roots of a non linear equation(defined as $f(x)=0$), around a starting estimate we use \typ{fsolve}:\\
 \typ{In []: from scipy.optimize import fsolve}\\
 \typ{fsolve} is not a part of \typ{pylab}, instead is a function in the \textbf{optimize} module of \textbf{scipy}, and hence we \textbf{import} it.\\