Python Tools for Data Scientists Pocket Primer

by Oswald Campesato

Overview

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.

FEATURES:

• Introduces Python, NumPy, Sklearn, SciPy, and awk
• Covers data cleaning tasks and data visualization
• Features numerous code samples throughout
• Includes companion files with source code

Product Details

ISBN-13:	9781683928232
Publisher:	Mercury Learning and Information
Publication date:	11/23/2022
Series:	Pocket Primer
Pages:	300
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Table of Contents

1: Introduction to Python
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index