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.Īnaconda comes in four distinct editions, each intended for different use cases for different audiences. It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching. The Anaconda distribution is a repackaging of Python aimed at developers who use Python for data science.
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.
Because Python is a general-purpose programming language, how it’s packaged and delivered doesn’t speak specifically to data scientists. Still, those tools sometimes come with a little-or a lot-of assembly required. Convenient and powerful, Python connects data scientists and developers with a whole galaxy of tools and functionality, in convenient and programmatic ways. No question about it, Python is a crucial part of modern data science.
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