Data Cleaning Pocket Primer (Mercury)
Wednesday, 04 July 2018

This book aims to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. Author Oswald Campesato has written it as a practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks. He provides realistic examples and numerous commands that illustrate both the syntax and how the commands work together. 

<ASIN:1683922174>

The book

Author: Oswald Campesato
Publisher: Mercury Learning
Date: Jan 2018
Pages: 188
ISBN: 978-1683922179
Print: 1683922174
Kindle: B0797MX7PC
Audience: Developers working under Linux
Level: Introductory
Category: Data Science and Operating Systems 

 

 

  • 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 available from the publisher for downloading

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Python Machine Learning, 2nd Ed

Author: Sebastian Raschka and Vahid Mirjalili
Publisher: Packt
Pages: 622
ISBN: 978-1787125933
Print: 1787125939
Kindle: B0742K7HYF
Audience: Python developers interested in machine learning
Rating: 4.8
Reviewer: Mike James
Python and machine learning are made for each other.



Algorithms Unlocked

Author: Thomas H. Cormen
Publisher: MIT Press, 2013
Pages: 240
ISBN: 978-0262518802
Print: 0262518805
Kindle: B00H4D1W94
Audience: General readers interested in Computer Science
Rating: 4
Reviewer: Mike James

An easy to read book about algorithms. What could be better reading for a programmer -  [ ... ]


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