1 Module 1: Basic Plotting (16)
================================
1.1 ABCD
---------
* Audience
+ same
* Behaviour
- should be able to generate plots with any combination of built-in
mathematical functions provided by pylab
* Condition
- being learnt in a self-study tutorial.
- have python setup in their machine
* Degree
- RBT - Ap
1.2 LO: getting started with =ipython= (2) [punch]
---------------------------------------------------
* Objective
Participants will be able to invoke and use basic features of ipython.
* ABCD
+ Condition
- have =python= & =ipython= setup in their machine. no mention of =pylab=
* Assessment Strategy
Built-in interspersed exercises
- workbook
+ errors, make connection with error message
* Outline
+ 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
1.3 LO: using the =plot= command interactively (2) [amit]
----------------------------------------------------------
* Outline
+ ipython -pylab
- pylab brings in the libraries necessary for Scientific Computing.
+ =linspace=,
+ =len=
+ =clf=
+ =plot=
+ using the plot ui
1.4 LO: embellishing a plot (2) [nishanth]
-------------------------------------------
* Outline
+ [X]line width, color, style
+ [X]Title
+ [X]Label
+ [X]annotations
1.5 LO: saving plots (2) [anoop]
---------------------------------
* Outline
+ basic savefig
+ png, pdf, ps, eps, svg
+ going to OS and looking at the file
1.6 LO: multiple plots (3) [madhu]
-----------------------------------
* Outline
+ overlays
- linspace
* give one with very few points, more points
* show smoothness of the curve
+ legend
+ figure 1, figure2
+ subplots
1.7 LO: additional features of IPython (2) [nishanth]
------------------------------------------------------
* Outline
+ =%save=, =%history=, =%run=
1.8 LO: module level assessment (3) [madhu]
--------------------------------------------
* 10-12 question, time the questions
* pause & and play when ready to look at answers
* show the answers
* one large or two medium questions
* ex: four_plot
2 Module 2: Plotting Experimental Data (12)
============================================
2.1 ABCD
---------
* Audience
+ same
* Behaviour
- should be able to generate plots with numeric data from files.
* Condition
- being learnt in a self-study tutorial.
- have python setup in their machine
* Degree
- Same
2.2 LO: loading data from files (3) [punch]
--------------------------------------------
* loadtxt with unpack=True
+ primes.list (one col)
+ pendulum.txt (two col)
2.3 LO: plotting the data (3) [amit]
-------------------------------------
* plot L vs. T^2
+ using square function
* problem with 3 cols
+ 3rd column is error
+ error bar
2.4 LO: other types of plots (3) [anoop]
-----------------------------------------
* scatter
* pie chart
* bar chart
* log
* illustration of other plots, matplotlib help
2.5 LO: module level assessment (3) [nishanth]
-----------------------------------------------
* pos.txt is evaluation
3 Module 3: Handling Large Data Files (17)
===========================================
3.1 LO: getting started with lists (2) [amit]
----------------------------------------------
* empty
* filled lists
+ heterogenity
* accessing
* len
* =append= elements
* del (+ remove)
3.2 LO: getting started with =for= (2) [anoop]
-----------------------------------------------
* blocks in python
+ (indentation)
* blocks in ipython
+ ... prompt
+ hitting enter
* =for= with a list
* =range= function
3.3 LO: getting started with strings (2) [madhu]
-------------------------------------------------
* strings
+ single, double, triple quoted
* accessing elements
* show immutability
* tell that there are methods for manipulation
3.4 LO: getting started with files (3) [punch]
-----------------------------------------------
* show file object
* read the file with =read=
* closing the file
* for line in file:
* print a line
* append the lines to a list
3.5 LO: parsing data (3) [nishanth]
------------------------------------
* explain what is parsing
* strip (with strings)
* split (with strings)
+ with delimiters
- specify space as delimiter
* datatype conversion
* reading from files
+ do the same problem done with loadtxt (for pendulum)
+ basic parse sslc text
3.6 LO: statistics (2) [amit]
------------------------------
* mean
+ summing
* median
* std
3.7 LO: module level assessment (3) [madhu]
--------------------------------------------
* mean g
4 Module 4: Arrays and Matrices (14)
=====================================
4.1 LO: getting started with arrays (2) [anoop]
------------------------------------------------
* why arrays
+ speed - simply say
+ array level operations
* creating arrays
+ direct data
+ list conversion
+ homogeneous
+ builtins - identitiy, zeros,
* array operations
+ =+ - * /=
4.2 LO: accessing parts of arrays (4) [punch]
----------------------------------------------
* accessing individual elements
* slicing, striding
* image manipulation
4.3 LO: Matrices (3) [anoop]
-----------------------------
* creating matrices
+ direct data
+ list conversion
+ builtins - identitiy, zeros,
* matrix operations
+ + - * /
+ dot
+ inv
+ det
+ eig
+ norm
+ svd
4.4 LO: Least square fit (2) [nishanth]
----------------------------------------
* show pendulum
+ use loadtxt
* lstsq
4.5 LO: Assessment (3) [punch]
-------------------------------
* extract faces from a group photograph
5 Module 5: using Sage (13)
============================
5.1 LO: getting started with sage notebook (3) [madhu]
-------------------------------------------------------
* about sage
+ ...
* starting the notebook server
* using the UI
+ typesetting & print
+ selecting language
- sage
- LaTeX
- python
+ help
- sum(<tab>
- ?
5.2 LO: getting started with symbolics (3) [amit]
--------------------------------------------------
* symbolic expressions
+ built-in constants & functions
+ algebraic expressions,
+ series
+ integration, differentiation
+ matrices
* symbolic functions
+ defining
* simplification
* finding roots & factors
* substituting expressions
* output formats
5.3 LO: using Sage (4) [punch]
-------------------------------
* 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
- adjoint
- rank
- determinant
- trace
- norm
+ Solving equations
+ Eigenvalues, eigenvectors
* Graph Theory
* Number Theory
5.4 LO: using sage to teach (3) [nishanth]
-------------------------------------------
* @interact
* 2D, 3D graphics
* Graph Theory
* Share, Publish
* print
5.5 LO: Assessment (3) [anoop]
-------------------------------
* 5 questions
* choice of exercises from one area
6 Module 6: Python Language: Basics (12)
=======================================
6.1 LO: basic datatypes & operators (4) [amit]
----------------------------------------------
* int
+ L, long
* float
+ repr, str
* complex
+ methods like imag, real
* boolean
+ short circuit logic
* 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
- containership
6.2 LO: I/O (1) [nishanth]
--------------------------
* print statement
* raw_input
6.3 LO: conditionals (2) [Madhu]
--------------------------------
* if, elif, else
* pass
* ternary operator
6.4 LO: loops (2) [punch]
-------------------------
* while
* for
* pass, break, continue
6.5 LO: Assessment (3) [Anoop]
------------------------------
* 10 Questions
* One of collatz or armstrong numbers
7 Module 7: Python Language: Datastructures (14)
================================================
7.1 LO: manipulating lists (3) [Madhu]
--------------------------------------
* concatenation
* slicing
* striding
* .sort
* sorted
* .reverse
* reversed
7.2 LO: manipulating strings (2) [punch]
----------------------------------------
* upper, lower,
* replace
* slicing
* [::-1]
* reversed
* palindrome check
7.3 LO: getting started with tuples (2) [nishanth]
--------------------------------------------------
* immutability
* tuple packing, unpacking
+ a, b = b, a
* accessing individual elements
* slicing, striding
7.4 LO: dictionaries (2) [anoop]
--------------------------------
* empty
* filled
* accessing via keys
* .values(), .keys()
* in
* iteration
7.5 LO: sets (2) [nishanth]
---------------------------
* Operations
+ Union
+ Intersection
+ Complement
+ Symmetric Difference
* Containership
* Subset
* len
7.6 LO: Assessment (3) [amit]
-----------------------------
* 10 Questions
* Anagrams for sets and dictionaries
* A problem for lists and strings
8 Module 8: Python Language: Advanced (16)
==========================================
8.1 LO: getting started with functions (3) [anoop]
-----------------------------------------------------
* defining function
* arguments
* docstrings
* return values
+ can return multiple values
* code reading exercises
8.2 LO: advanced features of functions (3) [punch]
--------------------------------------------------
* default arguments
* keyword arguments
* built-in functions show off
8.3 LO: using python modules (3) [anoop]
----------------------------------------
* executing python scripts from command line
* import
* scipy
* pylab
* sys
* STDLIB modules show off
8.4 LO: writing python scripts (2) [nishanth]
----------------------------------------------
* importing our own modules
* if __name__ == '__main__'
8.5 LO: testing and debugging (2) [amit]
----------------------------------------
* Types of errors and exceptions
* Strategy for debugging
+ Using print
8.6 LO: Assessment (3) [punch]
------------------------------
* 10 Questions
* Find four digit numbers whose digits are all even
* Write a script to use methods from pylab (like plot, show and other commands) and execute it as a stand-alone script