Python Data Science Handbook
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. This useful handbook is one of the few resources that dives into every piece of this data science stack and related tools.
Download the first chapter, “IPython: Beyond Normal Python,” for an in-depth look into author Jake VanderPlas’s preferred environment. You’ll soon learn the details that make IPython a powerful control panel to run Python effectively for interactive scientific and data-intensive computing.
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Free: Python Data Science Handbook, chapter 1
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