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Apogentus edited this page Jan 24, 2016
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To install python and all the necessary scientific infrastructure (mainly numpy, scipy, pandas, scikit-learn packages together with ipython and ipython notebook extensions) please install Anaconda package here. You should select your operating system, python 3. 64 bit version is recommended, if it is supported by your CPU and OS.
- [A Crash Course in Python for Scientists] (http://nbviewer.ipython.org/gist/rpmuller/5920182)
- [Numpy] (https://docs.scipy.org/doc/numpy-dev/user/quickstart.html)
- [Matplotlib] (http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb)
- [Scipy Lecture Notes] (http://www.scipy-lectures.org/)
- [Pandas] (http://pandas.pydata.org/pandas-docs/stable/10min.html)
- [Scikit-learn] (http://scikit-learn.org/stable/tutorial/basic/tutorial.html)
- [A free classical book on machine learning] (http://web.stanford.edu/~hastie/local.ftp/Springer/ESLII_print10.pdf)
- [Official python site] (http://python.org)
- [NumPy] (http://www.numpy.org/) , [Pandas] (http://pandas.pydata.org/), [Matplotlib] (http://matplotlib.org/), [SciKit-Learn] (http://scikit-learn.org/stable/)
- [A gallery of ineresting IPython notebooks] (https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)