Wednesday, February 23, 2011

Python Online Source

Some Python Online Sources:

www.python.org  Python Official Website - everything you ever wanted to know and then some






http://atwork.wordpress.com   (From Java to Python)






http://showmedo.com/learningpaths/12/view#start

http://gnosis.cx/publish/tech_index_cp.html

http://gnosis.cx/TPiP/     (text processing in Python)

-- note that there is also the "NLTK" -- Natural Language Processing (python) which is very good

https://www.enthought.com/

comp.lang.python   (google group)

Differences between Python 2 and 3 - This articles explains the subtle and not so subtle differences (print ('...'), input(...) and eval(input(..)) instead of raw_input and input in 3, etc)

Python Style Guide - Readability Counts! And hey this document shows a desire for standardization of coding to aid everyone in the community

PyDev - IDE

Generators  Generators in Python:

Tricks, Tips, and Hacks:
Python Tips, Tricks, and Hacks

MIT OpenCourseWare
MIT 6.00 Intro to Computer Science & Program
Under MIT OpenCourseWare, all the lectures are available on MIT youtube channel with handouts and associative study materials. Here is the play list for this course -

some presentation (and code samples) on Generators in Python? Generator Tricks for Systems Programmers 



Python E-Books - e-Literature to get you started and free to boot

  1. Dive Into Python – The original but not the best anymore.  It taught me Python so I’ve got fond memories and a special place in my heart for it.
  2. How to Think Like a Computer Scientist: Learning With Python – A newly revised edition of this book is due out in Feburary 2009 but its still worth taking a look at the original.
  3. Text Processing in Python – I haven’t read it but I thoguht I’d add it for the sake of completeness.
  4. Start Programming With Python – Its a relatively new project started by an enthusiast.  A hell of a lot has already been produced and its due to be finished by Xmas.
  5. PLEAC Python – Its like a rapid-fire Python Cookbook with short, concise examples of how to solve a variety of low-level problems.  Form string manipulation to database access.
  6. Non-Programmers Tutorial for Python – Its for non-programmers but its sometimes useful to read form a different point of view.  I find the perspective refreshing.
  7. Python 101 – Part of a university course this goes through the fundamentals as well as providing exercises.
  8. Thinking in Python Design Patterns and Problem-Solving Techniques – A mammoth title written by the great Bruce Eckel.
  9. Python Standard Library – This is seriously showing its age as it was originally written for Python 2.0.  Although there’s updates they’re incomplete.  Its still worth a look though to get a good idea of the Python core.
  10. Python Programming Tutorial – It looks okay, though nothing ground breaking.
  11. Django Book – A book on Pythons greatest web framework.
  12. Pylons Book – A book on Pythons 3rd best web framework.
  13. Sockets Programming in Python – I found this over at Scribd which is fast turning out to be a great little site.  I recommend you look at some of the other books on offer once you’ve looked at this.
  14. Python Network Programming – Heavy on theory and light on practice.  Still a worthy read when you need to sleep.
  15. Advanced Python Programming – This is actually a 126 slide lecture given by a Chicago University lecturer.  Some good stuff in here.

“A Byte of Python”.
http://www.swaroopch.com/notes/Python

Python programming wiki book
http://en.wikipedia.org/wiki/Wikibooks:Python_Programming

Open-Source Book: Python 3 Patterns, Recipes and Idioms
http://www.mindviewinc.com/Books/Python3Patterns/Index.php

http://www.pythonxy.com/
http://www.pycon.org/


Python Links

Core

General Scientific Programming

Calling c functions and fortran subroutines


Plotting


Pgplot and ppgplot

Astronomy

Example Python Programs and Functions

  • Find the median of an array (source)
  • Angular separation of two points on the Celestial Sphere (source)
  • Bearing (position angle) of one point on a sphere relative to another (source)
  • To the azimuth and elevation of celestial object (source)
  • Convert from J2000 equatorial coordinates to galactic coordinates (source)
  • To find aperture magitudes for a set of x, y position on an image (source)
  • Incomplete Gamma functions, etc (gammln, gser, gcf, gammp, gammq translated from Numerical Recipes) (source)
  • plot_prof.py  Plots galaxy surface brightness curves, outputs: prof.ps
  • plot_petro.py  Plots petrosian functions for a range of sersic profiles, outputs: petro.ps
  • make_galfit_gal.py Create bulge and disk images from GALFIT output fit.log file
  • Average a set of JPEGS with PIL and numpy (source)
  • Convert the SDSS photo flag hex number into the flag names (source, PhotoFlags.dat)
  • Make up 2d gaussian fits image (source).
  • Example of using scipy.signal.convolve2d (source). Input fits files (gal.fits, psf.fits).
  • How to use the signal timeout (source).
  • Using astLibs to make up a postage stamp image (source)
  • Examples of file locking in GCC and python

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. You can download PyTables and use it for free. You can access documentation, some examples of use and presentations in the HowToUsesection.

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