Difference between revisions of "Python Old Version"

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(Created page with '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 …')
 
 
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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 (http://spoken-tutorial.org/NMEICT-Intro).
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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.   
 
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.   
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=General Information=
 
=General Information=
 
This topic will include getting ready with Installation and getting comfortable with the interface which would be used through out the workshop
 
This topic will include getting ready with Installation and getting comfortable with the interface which would be used through out the workshop
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== [[ Installation procedure of Required Packages]] ==
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== Installation procedure of Required Packages ==
 
For this study plan following packages will be used:
 
For this study plan following packages will be used:
 
# IPython
 
# IPython
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* Mac
 
* Mac
  
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== [[ Basic usage of IPython interpreter ]] ==
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== Basic usage of IPython interpreter ==
 
* Starting (and exiting) the interpreter.
 
* Starting (and exiting) the interpreter.
 
* Getting out of loops.
 
* Getting out of loops.
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* Running scripts inside the interpreter.
 
* Running scripts inside the interpreter.
  
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= [[ Interactive Plotting ]] =
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= Interactive Plotting =
 
* IPython
 
* IPython
 
** Autocompletion
 
** Autocompletion
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** Changing the looks: size, linewidth, colors.
 
** Changing the looks: size, linewidth, colors.
  
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= [[ Plotting experimental data ]] =
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= Plotting experimental data =
 
* Lists
 
* Lists
 
** Creation of a list.
 
** Creation of a list.
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** Plotting the points
 
** Plotting the points
  
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= [[ Plotting experimental data continued ]] =
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= Plotting experimental data continued =
 
* loadtxt
 
* loadtxt
 
* Arrays
 
* Arrays
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* Statistical functions
 
* Statistical functions
  
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= [[ Handling large files ]] =
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= Handling large files =
 
* Reading files
 
* Reading files
 
* String operations.
 
* String operations.
 
* Plotting pie charts.
 
* Plotting pie charts.
  
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= [[ Arrays/ Matrices ]] =
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= Arrays/ Matrices =
 
* Creating matrices.
 
* Creating matrices.
 
* Accessing and changing elements.
 
* Accessing and changing elements.
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* Matrices operations.
 
* Matrices operations.
  
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= [[ Least Square Fit]] =
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= Least Square Fit =
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Least Square Fit
  
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= [[Solving Equations ]] =
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= Solving Equations =
 
* Solving linear equations
 
* Solving linear equations
 
* Finding roots pf polynomials
 
* Finding roots pf polynomials
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* Basics of Functions
 
* Basics of Functions
  
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= [[ Ordinary Differential Equations ]] =
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= Ordinary Differential Equations =
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Ordinary Differential Equations
  
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= [[ Data Types: Numbers ]] =
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= Data Types: Numbers =
 
* Data types for numbers
 
* Data types for numbers
 
* operators
 
* operators
 
* type conversion
 
* type conversion
  
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= [[ Strings ]] =
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= Strings =
 
* Creating string variables
 
* Creating string variables
 
* Manipulating strings
 
* Manipulating strings
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* Dynamically typed nature
 
* Dynamically typed nature
  
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= [[ Conditional statements and Loops ]] =
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= Data Structures: Lists and Tuples =
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* Writing conditional statements
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* While loops
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* range function
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* for and range
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−
 
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= [[ Data Structures: Lists and Tuples ]] =
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* Lists
 
* Lists
 
** Initialization
 
** Initialization
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* Tuples
 
* Tuples
  
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= [[Data Structures: Dictionaries & Sets ]] =
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= Data Structures: Dictionaries & Sets =
 
* Dictionaries
 
* Dictionaries
 
** Initializing
 
** Initializing
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** Operations
 
** Operations
  
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= [[ Functions ]] =
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= Conditional statements and Loops  =
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* Writing conditional statements
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* While loops
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* range function
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* for and range
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=  Functions =
 
* Function definition
 
* Function definition
 
* Docstrings
 
* Docstrings

Latest revision as of 17:34, 14 May 2018

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.

General Information

This topic will include getting ready with Installation and getting comfortable with the interface which would be used through out the workshop

Installation procedure of Required Packages

For this study plan following packages will be used:

  1. IPython
  2. Matplotlib
  3. NumPy
  4. SciPy
  5. Mayavi2
  6. Scite
  • Windows installation (using Enthought Python Distribution(EPD http://www.enthought.com/products/epd.php ))
  • Linux installation (using package manager- show only Debian/Ubuntu as example (sudo apt-get install ipython python-numpy python-scipy python-matplotlib mayavi2 scite))
  • Mac

Basic usage of IPython interpreter

  • Starting (and exiting) the interpreter.
  • Getting out of loops.
  • Viewing history.
  • Saving history to scripts.
  • Running scripts inside the interpreter.

Interactive Plotting

  • IPython
    • Autocompletion
    • Help
  • Plotting
    • Creating simple plots.
    • Adding labels and legends.
    • Annotating plots.
    • Changing the looks: size, linewidth, colors.

Plotting experimental data

  • Lists
    • Creation of a list.
    • Appending to a list.
    • Iterating through list.
  • Data Processing
    • Handling files.
    • For loops.
    • Plotting the points

Plotting experimental data continued

  • loadtxt
  • Arrays
    • Usage
    • Operations
  • Statistical functions

Handling large files

  • Reading files
  • String operations.
  • Plotting pie charts.

Arrays/ Matrices

  • Creating matrices.
  • Accessing and changing elements.
  • Concepts of Striding and Slicing.
  • Elementary Image processing.
  • Matrices operations.

Least Square Fit

Least Square Fit

Solving Equations

  • Solving linear equations
  • Finding roots pf polynomials
  • Roots of non linear equations
  • Basics of Functions

Ordinary Differential Equations

Ordinary Differential Equations

Data Types: Numbers

  • Data types for numbers
  • operators
  • type conversion

Strings

  • Creating string variables
  • Manipulating strings
  • I/O operations
  • Comments
  • Dynamically typed nature

Data Structures: Lists and Tuples

  • Lists
    • Initialization
    • Operations
    • Slicing
    • Striding
  • Tuples

Data Structures: Dictionaries & Sets

  • Dictionaries
    • Initializing
    • Accessing elements
    • dict.keys and dict.values
  • Sets
    • Initializing
    • Operations

Conditional statements and Loops

  • Writing conditional statements
  • While loops
  • range function
  • for and range

Functions

  • Function definition
  • Docstrings
  • Function arguments
    • Default arguments
    • Keyword arguments
  • Return values

Contributors and Content Editors

Gaurav, Minal, Nancyvarkey, PoojaMoolya

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