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rasbt 2014-07-14 15:47:15 -04:00
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- [The IPython Notebook](http://ipython.org/notebook.html) - an interactive computational environment for combining code execution, documentation (with Markdown and LateX support), inline plots, and rich media all in one document.
- [SciPy Stack](http://www.scipy.org/index.html) - Python packages (NumPy, pandas, SciPy, IPython, Matplotlib) for scientific computing
- [matplotlib](http://matplotlib.org) - Python's favorite plotting library
- [NumPy](http://www.numpy.org) - a library for multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays
- [SciPy](http://www.scipy.org) - a library that provides various useful functions for numerical computing, such as modules for optimization, linear algebra, integration, interpolation, ...
- [pandas](http://pandas.pydata.org) - high-performance, easy-to-use data structures and data analysis tools build on top of Numpy
- [Cython](http://cython.org) - C-extensions for Python, an optimizing static compiler to combine Python and C code
- [Numba](http://numba.pydata.org) - an just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)
- [scikit-learn](http://scikit-learn.org/stable/) - a powerful machine learning library for Python and tools for efficient data mining and analysis