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Learning pandas - Second Edition by Michael Heydt

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Data manipulation, analysis, science, and pandas

We live in a world in which massive amounts of data are produced and stored every day. This data comes from a plethora of information systems, devices, and sensors. Almost everything you do, and items you use to do it, produces data which can be, or is, captured.

This has been greatly enabled by the ubiquitous nature of services that are connected to networks, and by the great increases in data storage facilities; this, combined with the ever-decreasing cost of storage, has made capturing and storing even the most trivial of data effective.

This has led to massive amounts of data being piled up and ready for access. But this data is spread out all over cyber-space, and is cannot actually be ...

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