English | 2022 | ISBN: 978-1683928263 | 259 pages | True EPUB | 4.96 MB
This book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code areavailable for downloading from the publisher.
FEATURES
Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualization
Includes an introductory chapter on Python
Companion files with code
Code:
https://1dl.net/1kwea49gvksy
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