Data Wrangling Using Pandas, SQL, and Java

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
+Companion files with code (available with Amazon proof of purchase by writing to the publisher at info@merclearning.com)

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).