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Dealing With Data Pocket Primer
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Oswald Campesato
Language:
English
Published/Copyright:
2022
About this book
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available.
Features:
- Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization
- Introduces probability and statistical concepts
- Features numerous code samples throughout
- Includes companion files with source code and figures
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).
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
May 18, 2022
eBook ISBN:
9781683928195
Paperback published on:
May 26, 2022
Paperback ISBN:
9781683928201
Pages and Images/Illustrations in book
Main content:
250
Keywords for this book
Pandas; RDBMS; NLP; data cleaning; SQL; data visualization; statistics; computer science; data analytics; python; programming
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
