View source for Python 3.4.3

IIT Bombay is leading the effort to popularise Python for Scientific Computing in India.  This is part of the Free and Open source Software for Science and Engineering Education (http://fossee.in) project, supported by the National Mission on Education through ICT of MHRD.

IIT Bombay is using Spoken Tutorials (http://spoken-tutorial.org) to create learning material for FOSS.  This is the main page for the organisation of the scripts required for Standard two day workshop we conduct on "Python for Scientific Computing" spoken tutorials.  

'''Learners''': UG/PG CSE/IT/CS students and CBSE high school students 

__TOC__

'''Note:''' Each numbered topic corresponds to a single spoken tutorial. Each bulleted point corresponds to a command or topic that must be covered in the given spoken tutorial.

==Module 1: Basic Plotting ==

=== Getting started with ipython ===

* invoking ipython <br /> if there's a problem, pre-requisites are not met.

* getting out <br />

* explain the prompt <br />

* typing commands <br />
** 1+2 <br />
*** careful wording to differentiate from print <br />
** print 1+2 <br />
** history (up, down arrows) <br />
** backspace, delete key <br />
** tab completion <br />
*** ab <br />
*** a <br />
*** rou <br />
*** ro <br />
*** r <br />

* <code>abs?</code>, <code>round?</code><br />

* handling typing errors <br />
** round(2.48,
*** close it
*** use <sup>C</sup>

=== Using the plot command interactively ===


* ipython -pylab <br />
** pylab brings in the libraries necessary for Scientific Computing. <br />

* <code>linspace</code>, <br />

* <code>len</code><br />

* <code>clf</code><br />

* <code>plot</code><br />

* using the plot ui <br />

=== Embellishing a plot ===


* Title <br />

* Label <br />

* line width, color, style <br />

* annotations <br />

===  Saving plots ===


* basic savefig <br />

* png, pdf, ps, eps, svg <br />

* going to OS and looking at the file <br />

=== Multiple plots ===

* overlays <br />
** linspace <br />
*** give one with very few points, more points <br />
*** show smoothness of the curve <br />

* legend <br />

* figure 1, figure2 <br />

=== Subplots ===

* run basic Python commands on the ipython console
* use Plots interactively
* Embellish a plot

=== Additional features of IPython ===

* <code>%save</code>, <code>%history</code>, <code>%run</code><br />

==Module 2: Plotting Experimental Data  ==

=== loading data from files ===

* loadtxt with unpack=True <br />
** primes.list (one col) <br />
** pendulum.txt (two col) <br />

=== Plotting the data ===


* plot L vs. T<sup>2</sup><br />
** using square function <br />

* problem with 3 cols <br />
** 3rd column is error <br />
** error bar <br />

=== Other types of plots ===

* scatter <br />

* log-log plots

=== Plotting charts ===

* pie chart 

* bar chart 

* illustration of other plots, matplotlib help <br />

== Module 4: Handling Large Data Files==
===  Getting started with lists ===

* empty <br />

* filled lists <br />
** heterogenity <br />

* accessing <br />

* len <br />

* <code>append</code> elements <br />

* del (+ remove) <br />

=== Getting started with for ===

* blocks in python <br />
** (indentation) <br />

* blocks in ipython <br />
** … prompt <br />
** hitting enter <br />

* <code>for</code> with a list <br />

* <code>range</code> function <br />

===  Getting started with strings ===

* strings <br />
** single, double, triple quoted <br />

* accessing elements <br />

* show immutability <br />

* tell that there are methods for manipulation <br />

=== Getting started with files ===

* show file object <br />

* read the file with <code>read</code><br />

* closing the file <br />

* for line in file: <br />

* print a line <br />

* append the lines to a list <br />

=== Parsing data ===

* explain what is parsing <br />

* strip (with strings) <br />

* split (with strings) <br />
** with delimiters <br />
*** specify space as delimiter <br />

* datatype conversion <br />

* reading from files <br />
** do the same problem done with loadtxt (for pendulum) <br />
** basic parse sslc text <br />

=== Statistics === 

* mean <br />
** summing <br />

* median <br />

* std <br />
==Module 5: Arrays and Matrices  ==

=== Getting started with arrays ===

* why arrays <br />
** speed - simply say <br />
** array level operations <br />

* creating arrays <br />
** direct data <br />
** list conversion <br />
** homogeneous <br />
** builtins - identitiy, zeros, <br />

* array operations <br />
** <code>+ - * /</code><br />

=== Accessing parts of arrays ===

* accessing individual elements <br />

* changing individual elements <br />

* slicing, striding <br />

* image manipulation <br />

=== Matrices ===


* creating matrices <br />
** direct data <br />
** list conversion <br />
** builtins - identitiy, zeros, <br />

* matrix operations <br />
** + - * / <br />
** dot <br />
** inv <br />
** det <br />
** eig <br />
** norm <br />
** svd <br />

=== Least square fit ===


* show pendulum <br />
** use loadtxt <br />

* lstsq <br />

==Module 6: Python Language: Basics==

=== Basic datatypes & operators ===

* int <br />
** L, long <br />

* float <br />
** repr, str <br />

* complex <br />

* boolean <br />

* conversion functions <br />

* sequence datatypes & mutability <br />
** list available sequence datatypes <br />
*** string <br />
*** list <br />
*** tuple <br />
** mutability <br />
** conversion <br />
** common stuff <br />
*** len <br />
*** in <br />
*** max, min, sum, sorted, reversed <br />
*** accessing individual elements <br />
*** slicing, striding <br />

=== I/O ===
Input Output in Python

=== Conditionals ===

* if, elif, else <br />

* pass <br />

===  Loops ===

* while <br />

* for <br />

* pass, break, continue <br />

==Module 7: Python Language: Datastructures ==

===  Manipulating lists ===

* concatenation <br />

* slicing <br />

* striding <br />

* .sort <br />

* sorted <br />

* .reverse <br />

* reversed <br />

=== Manipulating strings ===

* upper, lower, <br />

* replace <br />

* slicing <br />

* [::-1] <br />

* reversed <br />

* palindrome check <br />

=== Getting started with tuples ===


* immutability <br />

* tuple packing, unpacking <br />
** a, b = b, a <br />

* accessing individual elements <br />

* slicing, striding <br />

===  Dictionaries ===

* empty <br />

* filled <br />

* accessing via keys <br />

* .values(), .keys() <br />

* in <br />

* iteration <br />

=== Sets ===
Sets

About sets in python

==Module 8: Python Language: Advanced==

=== Getting started with functions === 

* defining function <br />

* arguments <br />

* docstrings <br />

* return values <br />
** can return multiple values

* code reading exercises <br />

=== Advanced features of functions ===

* default arguments <br />

* keyword arguments <br />

* built-in functions show off <br />

=== Using python modules === 

* scipy <br />

* pylab <br />

* sys <br />

=== Writing python scripts === 

* import <br />

=== Testing and debugging ===
Testing and debugging
=== Handling Errors and Exceptions ===

* ValueError exception
* ZeroDivisionError exception
* try except clause in Python
* debugging