Merged Mainline and Madhu branches.
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% Tutorial slides on Python.
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% Author: Prabhu Ramachandran <prabhu at aero.iitb.ac.in>
% Copyright (c) 2005-2009, Prabhu Ramachandran
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% Title page
\title[Basic Python]{Python:\\Advanced Python data structures, Functions and Debugging}
\author[FOSSEE Team] {Asokan Pichai\\Prabhu Ramachandran}
\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
\date[] {10, October 2009\\Day 1, Session 4}
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% DOCUMENT STARTS
\begin{document}
\begin{frame}
\titlepage
\end{frame}
\section{Advanced Data structures, Functions and Debugging}
\subsection{Dictionary}
\begin{frame}{Dictionary}
\begin{itemize}
\item lists and tuples index: 0 \ldots n
\item dictionaries index using strings
\item \typ{ d = \{ ``Hitchhiker's guide'' : 42, ``Terminator'' : ``I'll be back''\}}
\item \typ{d[``Terminator'']\\``I'll be back''}
\item aka associative array, key-value pair, hashmap, hashtable \ldots
\item what can be keys?
\end{itemize}
\end{frame}
\begin{frame}{Dictionary \ldots }
\begin{itemize}
\item \alert{Unordered}
\begin{block}{Standard usage}
for key in dict:\\
<use> dict[key] \# => value
\end{block}
\item \typ{d.keys()} returns a list
\item can we have duplicate keys?
\end{itemize}
\inctime{5}
\end{frame}
\begin{frame} {Problem Set 6.1}
\begin{description}
\item[6.1.1] You are given date strings of the form ``29, Jul 2009'', or ``4 January 2008''. In other words a number a string and another number, with a comma sometimes separating the items.Write a function that takes such a string and returns a tuple (yyyy, mm, dd) where all three elements are ints.
\item[6.1.2] Count word frequencies in a file.
\item[6.1.3] Find the most used Python keywords in your Python code (import keyword).
\end{description}
\inctime{10}
\end{frame}
\subsection{Set}
\begin{frame}[fragile]
\frametitle{Set}
\begin{itemize}
\item Simplest container, mutable
\item No ordering, no duplicates
\item usual suspects: union, intersection, subset \ldots
\item >, >=, <, <=, in, \ldots
\end{itemize}
\begin{lstlisting}
>>> f10 = set([1,2,3,5,8])
>>> p10 = set([2,3,5,7])
>>> f10|p10
set([1, 2, 3, 5, 7, 8])
>>> f10&p10
set([2, 3, 5])
>>> f10-p10
set([8, 1])
\end{lstlisting}
\end{frame}
\begin{frame}[fragile]
\frametitle{Set}
\begin{lstlisting}
>>> p10-f10, f10^p10
set([7]), set([1, 7, 8])
>>> set([2,3]) < p10
True
>>> set([2,3]) <= p10
True
>>> 2 in p10
True
>>> 4 in p10
False
>>> len(f10)
5
\end{lstlisting}
\inctime{5}
\end{frame}
\begin{frame}
\frametitle{Problem set 6.2}
\begin{description}
\item[6.2.1] Given a dictionary of the names of students and their marks, identify how many duplicate marks are there? and what are these?
\item[6.2.2] Given a string of the form ``4-7, 9, 12, 15'' find the numbers missing in this list for a given range.
\end{description}
\inctime{10}
\end{frame}
\subsection{Functions Reloaded!}
\begin{frame}[fragile]
\frametitle{Advanced functions}
\begin{itemize}
\item default args
\item var args
\item keyword args
\item scope
\item \typ{global}
\end{itemize}
\end{frame}
\begin{frame}[fragile]
\frametitle{Functions: default arguments}
\small
\begin{lstlisting}
def ask_ok(prompt, complaint='Yes or no!'):
while True:
ok = raw_input(prompt)
if ok in ('y', 'ye', 'yes'):
return True
if ok in ('n', 'no', 'nop',
'nope'):
return False
print complaint
ask_ok('?')
ask_ok('?', '[Y/N]')
\end{lstlisting}
\end{frame}
\begin{frame}[fragile]
\frametitle{Functions: keyword arguments}
\small
\begin{lstlisting}
def ask_ok(prompt, complaint='Yes or no!'):
while True:
ok = raw_input(prompt)
if ok in ('y', 'ye', 'yes'):
return True
if ok in ('n', 'no', 'nop',
'nope'):
return False
print complaint
ask_ok(prompt='?')
ask_ok(prompt='?', complaint='[y/n]')
ask_ok(complaint='[y/n]', prompt='?')
\end{lstlisting}
\inctime{15}
\end{frame}
\subsection{Functional programming}
\begin{frame}[fragile]
\frametitle{Functional programming}
What is the basic idea?\\
Why is it interesting?\\
\typ{map, reduce, filter}\\
list comprehension\\
generators
\end{frame}
\begin{frame}[fragile]
\frametitle{List Comprehensions}
Lets say we want to squares of all the numbers from 1 to 100
\begin{lstlisting}
squares = []
for i in range(1, 100):
squares.append(i * i)
\end{lstlisting}
\begin{lstlisting}
# list comprehension
squares = [i*i for i in range(1, 100)]
\end{lstlisting}
Which is more readable?
\end{frame}
\begin{frame}[fragile]
\frametitle{List Comprehensions}
What if you had a more complex function?
Lets say we want squares of numbers from 1 to 100 ending in 1, 2, 5, 7 only
\begin{lstlisting}
squares = []
for i in range(1, 100):
if i % 10 in [1, 2, 5, 7]:
squares.append(i * i)
\end{lstlisting}
\begin{lstlisting}
# list comprehension
squares = [i*i for i in range(1, 100)
if i % 10 in [1, 2, 5, 7]]
\end{lstlisting}
Which is more readable?
\inctime{15}
\end{frame}
\subsection{Debugging}
\begin{frame}[fragile]
\frametitle{Errors}
\begin{lstlisting}
>>> while True print 'Hello world'
\end{lstlisting}
\pause
\begin{lstlisting}
File "<stdin>", line 1, in ?
while True print 'Hello world'
^
SyntaxError: invalid syntax
\end{lstlisting}
\end{frame}
\begin{frame}[fragile]
\frametitle{Exceptions}
\begin{lstlisting}
>>> print spam
\end{lstlisting}
\pause
\begin{lstlisting}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'spam' is not defined
\end{lstlisting}
\end{frame}
\begin{frame}[fragile]
\frametitle{Exceptions}
\begin{lstlisting}
>>> 1 / 0
\end{lstlisting}
\pause
\begin{lstlisting}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ZeroDivisionError: integer division
or modulo by zero
\end{lstlisting}
\end{frame}
\begin{frame}[fragile]
\frametitle{Debugging effectively}
\begin{itemize}
\item \kwrd{print} based strategy
\item Process:
\end{itemize}
\pgfimage[interpolate=true,width=5cm,height=5cm]{DebugginDiagram.png}
\end{frame}
\begin{frame}[fragile]
\frametitle{Debugging effectively}
\begin{itemize}
\item Using \typ{\%debug} and \typ{\%pdb} in IPython
\end{itemize}
\end{frame}
\begin{frame}[fragile]
\frametitle{Debugging in IPython}
\small
\begin{lstlisting}
In [1]: import mymodule
In [2]: mymodule.test()
---------------------------------------------
NameError Traceback (most recent call last)
/media/python/iitb/workshops/day1/<ipython console> in <module>()
/media/python/iitb/workshops/day1/mymodule.py in test()
1 def test():
----> 2 print spam
NameError: global name 'spam' is not defined
In [3]: %debug
> /media/python/iitb/workshops/day1/mymodule.py(2)test()
0 print spam
ipdb>
\end{lstlisting}
\inctime{15}
\end{frame}
\begin{frame}[fragile]
\frametitle{Debugging: Exercise}
\inctime{10}
\end{frame}
\begin{frame}
\frametitle{What did we learn?}
\begin{itemize}
\item Creating and using Dictionaries
\item Creating and using Sets
\item Advances Functions: default arguments, keyword arguments
\item Functional Programming, list comprehensions
\item Errors and Exceptions in Python
\item Debugging: \%pdb and \%debug in IPython
\end{itemize}
\end{frame}
\end{document}