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English | 2022 | ISBN: 1683929047 | 275 pages | True PDF | 13.03 MB
This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher.
Features
+Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awk
+Includes a chapter on RDBMs and SQL
Table of Contents
1: Introduction to Python. 2: Working with Data. 3: Introduction to Pandas. 4: RDBMs and SQL. 5: Java, JSON, and XML. 6: Data Cleaning Tasks. 7: Data Wrangling. Appendix: Working with awk. Index.
About the Author
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and NLP. He is the author/co-author of over twenty-five books including the SQL Pocket Primer , Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning).
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