Data Cleaning Pocket Primer

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).

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).