Data Wrangling Using Pandas, SQL, and Java
Oct 2022 · Mercury Learning and Information
Ebook
300
Pages
About this ebook
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 awkIncludes a chapter on RDBMs and SQLCompanion files with code
Features:
Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awkIncludes a chapter on RDBMs and SQLCompanion files with code
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).
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