Python Data Science Handbook by Jake VanderPlas

Python Data Science Handbook by Jake VanderPlas

Python's data stack is four or five libraries that everyone uses and almost nobody learns properly. This is the book that fixes that.

Full coverage of IPython, NumPy arrays, pandas for data manipulation, Matplotlib for visualisation, and scikit-learn for machine learning — each with working examples rather than toy snippets.

An O'Reilly standard and the reference that stays open beside the editor. For anyone doing data work in Python.

📚 Book Specifications

✅ Premium Quality Books.

✅ High Printing quality.

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✅ Matt cover (Paperback)