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== | == Documentation == | ||
* [http://www.python.org Official website] | * [http://www.python.org Official website] | ||
* [http://www.euroscipy.org euroscipy] (scientific python community) | * [http://www.euroscipy.org euroscipy] (scientific python community) | ||
* [http://scipy-lectures.github.com Getting started with scipy] | |||
* [http://www.unixgarden.com/index.php/programmation/python-comme-langage-scientifique Python comme langage scientifique] - Voir aussi Cython. | |||
* [http://www.unixgarden.com/index.php/programmation/python-et-le-c Python et le C] | |||
== Libraries == | == Libraries and softwares == | ||
* [http://ipython.org iPython] | * [http://ipython.org iPython] | ||
* [http://ipython.org/ipython-doc/dev/interactive/htmlnotebook.html the iPython notebook] (interface similar to Mathematica) use HTML to handle worksheets. | |||
* [http://docs.python.org/library Standard Library] | * [http://docs.python.org/library Standard Library] | ||
* [http://scipy.org SciPy] - [http://numpy.scipy.org NumPy] | * [http://scipy.org SciPy] - [http://numpy.scipy.org NumPy] | ||
Line 14: | Line 17: | ||
* [http://cython.org Cython] | * [http://cython.org Cython] | ||
* [http://www.pytables.org PyTables] | * [http://www.pytables.org PyTables] | ||
* [http://mdp-toolkit.sourceforge.net/ Modular toolkit for Data Processing] | |||
* [http://pypy.org/ PyPy], a just-in-time compiler/implementation of Python. | |||
* [https://pandas.pydata.org/ Pandas, data science] | |||
== Miscellaneous == | == Miscellaneous == | ||
* [[Interfacing C++ and Python]] | * [http://fperez.org/code/index.html Fernando Perez page on Python] | ||
* [[Interfacing C++ and Python]]. | |||
* [http://docs.scipy.org/doc/numpy/user/c-info.python-as-glue.html 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]] | |||
* [http://code.enthought.com/projects/mayavi/ 3D Scientific Data Visualization and Plotting] | |||
* [[Quick integration of a known function]] | |||
* [[Reading a large data file (efficiently)]] | |||
== Tips == | == 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 | |||
# 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 | * adding a path to a directory containing your module files | ||
Line 25: | Line 55: | ||
import sys | import sys | ||
sys.path += [ "/home/username/bin/Python" ] | 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> | </source> |
Latest revision as of 16:16, 9 December 2020
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
- 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>