De Python Data Science Handbook: Essential Tools for Working with Data Jake VanderPlas is an English-language reference work that brings together all the essential tools for Python data science. This handbook is aimed at professionals who want to delve into data analysis and machine learning with Python.
The book covers important libraries such as IPython, NumPy, pandas, Matplotlib, and Scikit-Learn. This supports practical applications such as manipulating, transforming, and visualizing data, as well as building statistical and machine learning models. The second edition serves as an indispensable reference for scientists and data scientists who work with Python every day.
This data science handbook aligns in content with topics such as programming, scripting, and software engineering. It provides practical guidance for efficiently applying Python in data science projects.