Python Data Science Handbook (Jupyter Notebooks Format)

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks provided by Jake VanderPlas (author of the book).

"The book was written and tested with Python 3.5, though older Python versions (including Python 2.7) should work in nearly all cases.

The book introduces the core libraries essential for working with data in Python: particularly IPythonNumPyPandasMatplotlibScikit-Learn, and related packages. Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A Whirlwind Tour of Python: it's a fast-paced introduction to the Python language aimed at researchers and scientists."

Read full book in Jupyter Notebook format at http://bit.ly/2mRhxy5

Branimir Čuček

Supply Chain Analytics | Predictive Replenishment | Demand Planning | Inventory Optimization | SQL | Python

8y

Great resource, thank you

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Alex Borrell

Systema analyst at Semov, Jalisco

8y

Thanks

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Leesing O.

Automated Testing Engineer, Technical Writer, Investigative Reporter, Fraud Risk Business Analyst, Computer Forensic Examiner, Software Engineer

8y

Use R also

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Vincent Ong

We have grown our capabilities over the time. This is reflected in the role we are hiring. We are interested to hear from you if you are into CloudOps, IT Risk Management, SRE / Platform Engineering, Cloud Engineering.

8y

this is a must have.

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Steeve Brechmann

AI/ML & HPC | Computational Physicist | ex-Microsoft

8y

Just bought this book. Really nice!

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