day1/cheatsheet3.tex
author Shantanu <shantanu@fossee.in>
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permissions -rwxr-xr-x
cheat sheet 1 Interactive Plotting.
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\documentclass[12pt]{article}
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\title{Interactive Plotting}
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\author{FOSSEE}
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\usepackage{listings}
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\lstset{language=Python,
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    basicstyle=\ttfamily,
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  commentstyle=\itshape\bfseries,
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  showstringspaces=false,
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}
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\newcommand{\typ}[1]{\lstinline{#1}}
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\usepackage[english]{babel}
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\usepackage[latin1]{inputenc}
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\usepackage{times}
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\usepackage[T1]{fontenc}
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\usepackage{ae,aecompl}
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\usepackage{mathpazo,courier,euler}
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\usepackage[scaled=.95]{helvet}
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\begin{document}
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\date{}
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\vspace{-1in}
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\begin{center}
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\LARGE{Statistics and Least square fit}\\
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\large{FOSSEE}
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\end{center}
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\section{Statistics}
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Dictionary
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\begin{lstlisting}
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In []: d = {"Hitchhiker's guide" : 42, 
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 ....:      "Terminator" : "I'll be back"} #Creation
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In []: d["Hitchhiker's guide"] # Accessing a value with key
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In []: "Hitchhiker's guide" in d #Checking for a key
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In []: d.keys() # Obtaining List of Keys
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In []: d.values() # Obtaining List of Values
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\end{lstlisting}
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Iterating through List indices
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\begin{lstlisting}
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In []: names = ["Guido","Alex", "Tim"]
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In []: for i, name in enumerate(names):
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  ...:     print i, name
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\end{lstlisting}
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Computing Mean value of `\texttt{g}'
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\begin{lstlisting}
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In []: G = []
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In []: for line in open('pendulum.txt'):
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  ....     points = line.split()
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  ....     l = float(points[0])
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  ....     t = float(points[1])
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  ....     g = 4 * pi * pi * l / t * t
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  ....     G.append(g)
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\end{lstlisting}
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sum() and len() functions
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\begin{lstlisting}
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  total = 0
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  for g in G:
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    total += g
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  mean_g = total / len(g)
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  mean_g = sum(G) / len(G)
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  mean_g = mean(G)
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\end{lstlisting}
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\newpage
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Ternary Operator
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\begin{lstlisting}
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In []: score = int(score_str) if score_str != 'AA' else 0
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\end{lstlisting}
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Drawing Pie Charts
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\begin{lstlisting}
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In []: pie(science.values(), labels=science.keys())
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\end{lstlisting}
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Numpy Arrays
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\begin{lstlisting}
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In []: a = array([1, 2, 3]) #Creating
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In []: b = array([4, 5, 6])
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In []: a + b #Sum; Element-wise
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\end{lstlisting}
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Numpy statistical operations 
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\begin{lstlisting}
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In []: mean(math_scores)
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In []: median(math_scores)
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In []: std(math_scores)
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\end{lstlisting}
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\end{document}