Regular Expressions: Pocket Primer
As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher.

Features:
• Uses REs with Python, R, bash, Java, and more
• Packed with realistic examples and numerous commands
• 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)


ON THE COMPANION FILES
(available from the publisher for downloading)
• Source code samples
1301143976
Regular Expressions: Pocket Primer
As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher.

Features:
• Uses REs with Python, R, bash, Java, and more
• Packed with realistic examples and numerous commands
• 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)


ON THE COMPANION FILES
(available from the publisher for downloading)
• Source code samples
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Regular Expressions: Pocket Primer

Regular Expressions: Pocket Primer

by Oswald Campesato
Regular Expressions: Pocket Primer

Regular Expressions: Pocket Primer

by Oswald Campesato

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Overview

As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher.

Features:
• Uses REs with Python, R, bash, Java, and more
• Packed with realistic examples and numerous commands
• 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)


ON THE COMPANION FILES
(available from the publisher for downloading)
• Source code samples

Product Details

ISBN-13: 9781683922278
Publisher: Mercury Learning & Information
Publication date: 06/21/2018
Series: Pocket Primer
Pages: 190
Product dimensions: 6.00(w) x 9.00(h) x 0.00(d)

About the Author

Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Data Cleaning,
Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow Pocket Primer; Artificial Intelligence, Machine Learning, and Deep Learning; Android Pocket Primer,
Angular4
Pocket Primer,
and the
Python Pocket Primer (Mercury
Learning).

Table of Contents

1: Introduction to Regular Expressions.
2: Common Regex Tasks.
3: REs in Python.
4: Working with REs in R.
5: Working with REs in bash.
Appendix A. REs in Perl.
Appendix B. REs in Java.
Index.
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