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Data Wrangling Using Pandas, SQL, and Java
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Oswald Campesato
Language:
English
Published/Copyright:
2022
About this book
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:
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
Author / Editor information
Campesato Oswald :
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).
Supplementary Materials
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
October 31, 2022
eBook ISBN:
9781683929031
Paperback published on:
November 25, 2022
Paperback ISBN:
9781683929048
Pages and Images/Illustrations in book
Main content:
300
Keywords for this book
computer science; data science; programming; Python; NumPy; Pandas; MySQL; Java; RDBMs; data cleaning; awk
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com