Jan 23, 2022 · The book has been updated for pandas 2.0.0 and Python 3.10. The changes between the 2nd and 3rd editions are focused on bringing the content up-to-date with changes …

The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.

Jan 3, 2017 · For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data.

Nov 6, 2020 · Without wasting any more of your time, here is my list of Python books, which I believe every Data Scientist should read. The list also highlights the critical reason why Data...

Feb 27, 2025 · Explore the 9 best Python books for data science, covering data analysis, machine learning, and more.

Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: …

These days, data scientists and analysts are in high demand by organizations of all types. This book covers everything you need to hit the ground running with using Python for data science …

Whether you're a working scientist or an aspiring data analyst, this must-have reference equips you with the knowledge and tools needed for effective scientific computing in Python.

This textbook covers basic concepts of Python for Data Science and its unique features, data types, operators, and developing simple programs, etc.

You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and …