12. Building Analytics Workflows Using Python and Pandas

A central theme of this book is that of accessibility. The availability of new, powerful open-source software has been a driving force to help a growing number of developers and analysts gain access to tools they need to solve their data challenges. The open-source movement brings more than just the software alone; another advantage is the momentum of the community of developers who work with those tools. For example, the programming language R, a leading programming environment for statistics and mathematical computing, is not only a language but also offers a huge community of people who contribute code, modules, and other tools.

The R community is large and vibrant, but its focus has ...

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