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copied!<p><strong>Update 2015</strong>: Nowadays I always recommend Anaconda. It includes lots of Python packages for scientific computing, data science, web development, etc. It also provides a superior environment tool, <code>conda</code>, which allows to easily switch between environments, even between Python 2 and 3. It is also updated very quickly as soon as a new version of a package is released, and you can just do <code>conda update packagename</code> to update it.</p> <p><strong>Original answer below</strong>:</p> <p>On Windows, what is complicated is to compile the math packages, so I think a manual install is a viable option only if you are interested only in <code>Python</code>, without other packages.</p> <p>Therefore better chose either EPD (now Canopy) or Anaconda.</p> <p>Anaconda has around 270 packages, including the most important for most scientific applications and data analysis, that is, <a href="http://en.wikipedia.org/wiki/NumPy" rel="nofollow noreferrer">NumPy</a>, <a href="http://en.wikipedia.org/wiki/SciPy" rel="nofollow noreferrer">SciPy</a>, <a href="https://en.wikipedia.org/wiki/Pandas_%28software%29" rel="nofollow noreferrer">Pandas</a>, <a href="http://en.wikipedia.org/wiki/IPython" rel="nofollow noreferrer">IPython</a>, <a href="http://en.wikipedia.org/wiki/Matplotlib" rel="nofollow noreferrer">matplotlib</a>, <a href="https://en.wikipedia.org/wiki/Scikit-learn" rel="nofollow noreferrer">Scikit-learn</a>. So if this is enough for you, I would choose Anaconda.</p> <p>Instead, if you are interested in other packages, and even more if you use any of the Enthought packages (<a href="http://code.enthought.com/chaco/" rel="nofollow noreferrer">Chaco</a> for example is very useful for realtime data visualization), then EPD/Canopy is probably a better choice. The Academic version has a larger number of packages in the base install, and many more in the repository. Anaconda also includes Chaco.</p>

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