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<li>Designed for scientists, data-scientists, and education (thanks to <ahref="http://numpy.org/">NumPy</a>, <ahref="https://www.scipy.org/">SciPy</a>, <ahref="https://www.sympy.org/">Sympy</a>, <ahref="http://www.matplotlib.org/">Matplotlib</a>, <ahref="http://pandas.pydata.org/">Pandas</a>, <ahref="https://code.google.com/p/guiqwt/">guiqwt</a>, etc.):
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<ul>
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<li>interactive data processing and visualization using Python with <ahref="https://github.com/spyder-ide">Spyder</a> and <ahref="http://ipython.org/">IPython</a>, or IDLE </li>
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<li>out-of-the-box working Compiler (Mingw64), <strong>fully integrated Cython and Numba!</strong> See <ahref="http://nbviewer.ipython.org/github/winpython/winpython_afterdoc/blob/master/docs/Winpython_checker.ipynb">included example</a></p></li>
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<li>out-of-the-box working Compiler (Mingw64), <strong>fully integrated Cython and Numba!</strong> See <ahref="http://nbviewer.ipython.org/github/winpython/winpython_afterdoc/blob/master/docs/Winpython_checker.ipynb">included example</a></li>
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<li>connectors (cffi, odbc, rpy2, scilab2py, requests, ...) and dedicated Flavors (R, Julia, ...) for advanced users</li>
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