The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The book introduces the core libraries essential for working with ...

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data ...

"Python for Data Science Handbook" by Jake VanderPlas is a comprehensive guide that covers the essential tools and techniques for data science in Python. It explores libraries like Matplotlib, Seaborn ...

Use Python data science libraries to analyze real-world datasets; Solve common data representation and analysis problems using pandas; Build Python scripts, modules, and packages for reusable analysis ...

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. The book was written and tested with Python 3.5, though other Python versions (including ...