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Data Cleaning Pocket Primer: Pocket Primer

Autor Oswald Campesato
en Limba Engleză Paperback – 7 feb 2018
As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. It is designed as a practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks. The book is packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together. Companion files with source code are available for downloading from the publisher.

Features:
- A practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks

- Includes the concept of piping data between commands, regular expression substitution, and the sed and awk commands

- Packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together

- Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks

- Includes companion files with all of the source code examples (download from the publisher).

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Specificații

ISBN-13: 9781683922179
ISBN-10: 1683922174
Pagini: 208
Dimensiuni: 152 x 229 x 12 mm
Greutate: 0.31 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information
Colecția Pocket Primer
Seria Pocket Primer


Notă biografică

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).