Python Hands-on

Get started with Anaconda Python, the distro for data science

It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching

No question about it: Python is a crucial part of modern data science. Convenient and powerful, Python connects data scientists and developers with a whole galaxy of tools and functionality, in convenient and programmatic ways.

Still, those tools sometimes come with a little—or a lot—of assembly required. Because Python is a general-purpose programming language, how it’s packaged and delivered doesn’t speak specifically to data scientists. But various folks have delivered Python to that audience in a way that’s prepackaged, with little to no assembly required—a project that regular Python users can benefit from, too.

Continuum Analytics’s Anaconda distribution is a repackaging of Python aimed at developers who use Python for data science. It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching. It can also be used as a general replacement for the standard Python distribution, but only if you’re conscious of how and why it differs from the stock version of Python.

What’s included in Anaconda

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