@@ -17,6 +17,22 @@ of the Python guide. However, a comprehensive introduction to the scientific
1717Python ecosystem can be found in the `Python Scientific Lecture Notes
1818<http://scipy-lectures.github.com/> `_
1919
20+
21+ Tools
22+ :::::
23+
24+ IPython
25+ -------
26+
27+ `IPytthon <http://ipython.org/ >`_ is an enhanced version of Python interpreter.
28+ The features it provides are of great interest for the scientists. The `inline mode `
29+ allow graphics and plots to be displayed in the terminal (Qt based version).
30+ Moreover the `notebook ` mode supports literate programming and reproducible science
31+ generating a web-based python notebook. This notebook allowing to store chunk of
32+ Python code along side to the results and additional comments (HTML, LaTeX, Markdown).
33+ The notebook could be shared and exported in various file formats.
34+
35+
2036Libraries
2137:::::::::
2238
@@ -63,6 +79,23 @@ users to Python. Many examples, along with the source code to re-create them,
6379can be browsed at the `matplotlib gallery
6480<http://matplotlib.sourceforge.net/gallery.html> `_.
6581
82+ Pandas
83+ ------
84+ `Pandas <http://pandas.pydata.org/ >`_ is data manipulation library
85+ based on Numpy and which provides many useful functions for accessing,
86+ indexing, merging and grouping data easily. The main data structure (DataFrame)
87+ is close to what could be found in the R statistical package, that is
88+ an heterogeneous data tables with name indexing, time series operations
89+ and auto-alignement of data.
90+
91+ Rpy2
92+ ----
93+ `Rpy2 <http://rpy.sourceforge.net/rpy2.html >`_ is a Python binding for the R
94+ statistical package allowing to execute R functions from Python and passing
95+ data back and forth the two environments. Rpy2 is the object oriented
96+ implementation of the binding based on `Rpy <http://rpy.sourceforge.net/rpy.html >`_.
97+
98+
6699Resources
67100:::::::::
68101
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