Data Wrangling: Using Pandas, SQL, and Java
- 3h 53m
- Oswald Campesato
- Mercury Learning
- 2022
This book is intended primarily for those who plan to become data scientists as wellas 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
About the Author
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
In this Book
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Introduction to Python
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Working with Data
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Introduction to Pandas
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Rdbms and SQL
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Java, JSON, and XML
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Data Cleaning Tasks
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Data Wrangling
