# Python

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.

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
if there's a problem, pre-requisites are not met.
• getting out
• explain the prompt
• typing commands
• 1+2
• careful wording to differentiate from print
• print 1+2
• history (up, down arrows)
• backspace, delete key
• tab completion
• ab
• a
• rou
• ro
• r
• `abs?`, `round?`
• handling typing errors
• round(2.48,
• close it
• use C

### Using the plot command interactively

• ipython -pylab
• pylab brings in the libraries necessary for Scientific Computing.
• `linspace`,
• `len`
• `clf`
• `plot`
• using the plot ui

### Embellishing a plot

• Title
• Label
• line width, color, style
• annotations

### Saving plots

• basic savefig
• png, pdf, ps, eps, svg
• going to OS and looking at the file

### Multiple plots

• overlays
• linspace
• give one with very few points, more points
• show smoothness of the curve
• legend
• figure 1, figure2
• subplots

• `%save`, `%history`, `%run`

## Module 2: Plotting Experimental Data

• primes.list (one col)
• pendulum.txt (two col)

### Plotting the data

• plot L vs. T2
• using square function
• problem with 3 cols
• 3rd column is error
• error bar

### Other types of plots

• scatter
• pie chart
• bar chart
• log
• illustration of other plots, matplotlib help

## Module 3: using Sage

### Getting started with sage notebook

• starting the notebook server
• using the UI
• typesetting & print
• selecting language
• sage
• LaTeX
• python
• help
• sum(<tab>
•  ?

### Getting started with symbolics

• symbolic expressions
• built-in constants & functions
• algebraic expressions,
• series
• integration, differentiation
• matrices
• symbolic functions
• defining
• simplification
• finding roots & factors
• substituting expressions
• output formats

### Using Sage

• ABCD
• Degree
• RBT - U
• Calculus
• limits
• differentiation
• integration
• indefinite
• definite
• piece-wise functions
• differential equations
• maxima, minima
• Linear Algebra
• Vectors and Matrices
• constructions
• Vector Operations
• linear combination
• dot
• cross
• pairwise
• Matrix Operations
• linear combination
• matrix multiplication
• inverse
• transpose
• rank
• determinant
• trace
• norm
• Solving equations
• Eigenvalues, eigenvectors
• Graph Theory
• Number Theory

### Using sage to teach

• @interact
• 2D, 3D graphics
• Graph Theory
• Share, Publish
• print

## Module 4: Handling Large Data Files

### Getting started with lists

• empty
• filled lists
• heterogenity
• accessing
• len
• `append` elements
• del (+ remove)

### Getting started with for

• blocks in python
• (indentation)
• blocks in ipython
• … prompt
• hitting enter
• `for` with a list
• `range` function

### Getting started with strings

• strings
• single, double, triple quoted
• accessing elements
• show immutability
• tell that there are methods for manipulation

### Getting started with files

• show file object
• read the file with `read`
• closing the file
• for line in file:
• print a line
• append the lines to a list

### Parsing data

• explain what is parsing
• strip (with strings)
• split (with strings)
• with delimiters
• specify space as delimiter
• datatype conversion
• do the same problem done with loadtxt (for pendulum)
• basic parse sslc text

• mean
• summing
• median
• std

## Module 5: Arrays and Matrices

### Getting started with arrays

• why arrays
• speed - simply say
• array level operations
• creating arrays
• direct data
• list conversion
• homogeneous
• builtins - identitiy, zeros,
• array operations
• `+ - * /`

### Accessing parts of arrays

• accessing individual elements
• changing individual elements
• slicing, striding
• image manipulation

### Matrices

• creating matrices
• direct data
• list conversion
• builtins - identitiy, zeros,
• matrix operations
• + - * /
• dot
• inv
• det
• eig
• norm
• svd

### Least square fit

• show pendulum
• lstsq

## Module 6: Python Language: Basics

### Basic datatypes & operators

• int
• L, long
• float
• repr, str
• complex
• boolean
• conversion functions
• sequence datatypes & mutability
• list available sequence datatypes
• string
• list
• tuple
• mutability
• conversion
• common stuff
• len
• in
• max, min, sum, sorted, reversed
• accessing individual elements
• slicing, striding

### I/O

Input Output in Python

### Conditionals

• if, elif, else
• pass

### Loops

• while
• for
• pass, break, continue

## Module 7: Python Language: Datastructures

### Manipulating lists

• concatenation
• slicing
• striding
• .sort
• sorted
• .reverse
• reversed

### Manipulating strings

• upper, lower,
• replace
• slicing
• [::-1]
• reversed
• palindrome check

### Getting started with tuples

• immutability
• tuple packing, unpacking
• a, b = b, a
• accessing individual elements
• slicing, striding

### Dictionaries

• empty
• filled
• accessing via keys
• .values(), .keys()
• in
• iteration

Sets

## Module 8: Python Language: Advanced

### Getting started with functions

• defining function
• arguments
• docstrings
• return values
• can return multiple values

• default arguments
• keyword arguments
• built-in functions show off

• scipy
• pylab
• sys

• import

### Testing and debugging

Testing and debugging