--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/day1/cheatsheet3.tex	Fri Nov 06 13:53:20 2009 +0530
@@ -0,0 +1,63 @@
+\documentclass[12pt]{article}
+\title{Interactive Plotting}
+\author{FOSSEE}
+\begin{document}
+\date{}
+\vspace{-1in}
+\begin{center}
+\LARGE{Statistics and Least square fit}\\
+\large{FOSSEE}
+\end{center}
+\section{Statistics}
+Dictionary
+\begin{verbatim}
+In [1]: d = {"Hitchhiker's guide" : 42, 
+  ....:      "Terminator" : "I'll be back"} #Creation
+In [2]: d["Hitchhiker's guide"] # Accessing a value with key
+In [3]: "Hitchhiker's guide" in d #Checking for a key
+In [4]: d.keys() # Obtaining List of Keys
+In [5]: d.values() # Obtaining List of Values
+\end{verbatim}
+Iterating through List indices
+\begin{verbatim}
+In [1]: names = ["Guido","Alex", "Tim"]
+In [2]: for i, name in enumerate(names):
+   ...:     print i, name
+\end{verbatim}
+
+\begin{verbatim}
+In [1]: score = int(score_str) if score_str != 'AA' else 0
+\end{verbatim}
+Drawing Pie Charts
+\begin{verbatim}
+In [1]: pie(science.values(), labels=science.keys())
+\end{verbatim}
+sum() and len() functions
+\begin{verbatim}
+In [1]: mean = sum(math_scores) / len(math_scores)
+\end{verbatim}
+Numpy Arrays
+\begin{verbatim}
+In [1]: a = array([1, 2, 3]) #Creating
+In [2]: b = array([4, 5, 6])
+In [3]: a + b #Sum; Element-wise
+\end{verbatim}
+Numpy statistical operations 
+\begin{verbatim}
+In [1]: mean(math_scores)
+In [2]: median(math_scores)
+In [3]: stats.mode(math_scores)
+In [4]: std(math_scores)
+\end{verbatim}
+Generating Van der Monde matrix
+\begin{verbatim}
+In [1]: A = vander(L, 2)
+\end{verbatim}
+Getting a Least Squares Fit curve
+\begin{verbatim}
+In [1]: coef, res, r, s = lstsq(A,TSq)
+In [2]: Tline = coef[0]*L + coef[1]
+In [3]: plot(L, Tline)
+\end{verbatim}
+\end{document}
+