Python

Documentation

• Official website
• euroscipy (scientific python community)
• Getting started with scipy
• Python comme langage scientifique - Voir aussi Cython.
• Python et le C

Libraries and softwares

• iPython
• the iPython notebook (interface similar to Mathematica) use HTML to handle worksheets.
• Standard Library
• SciPy - NumPy
• Matplotlib
• SymPy
• Cython
• PyTables
• Modular toolkit for Data Processing
• PyPy, a just-in-time compiler/implementation of Python.
• Pandas, data science

Miscellaneous

• Fernando Perez page on Python
• Interfacing C++ and Python.
• Interfacing Python and C++ (the other way around). See also Cython, below.
• Scientific Programming with Python (for the debug), and C(ython) for the speed
• Fitting data with python
• 3D Scientific Data Visualization and Plotting
• Quick integration of a known function
• Reading a large data file (efficiently)

Tips

• with pylab, removes the white borders:

<source lang="py"> savefig('figure.eps',format='eps',bbox_inches="tight") </source>

• equivalent of the C ternary operator ?: (test ? restrue : 'resfalse), use a tuple is possible but not transparent

<source lang="py"> (resfalse,restrue)[test] </source> prefer the inline condition testing way <source lang="py"> res = restrue if test or resfalse

1. example

min = lambda x,y: x if x<y else y min(1,2) </source>

• adding a path to a directory containing your module files

<source lang="py"> import sys sys.path += [ "/home/username/bin/Python" ] </source>

• test whether a string has only digits or letters

<source lang="py"> str = '1321' str.isdigit() # returns True/False str.isalpha() # returns True/False </source>

• Nested for loops in a single line:

<source lang="py"> for n,m in [ (n,m) for n in range(10) for m in range(2) ]:

   print n,m

</source>