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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Julia regular expressions


Julia has built-in regular expression handling-as do most modern programming languages. There is no need for a using statement, as regular expressions are basic features of strings in Julia.

We could have a small script that verifies whether a string matches a phone number, for example:

ismatch(r"^\([0-9]{3}\)[0-9]{3}-[0-9]{4}$", "(781)244-1212")
ismatch(r"^\([0-9]{3}\)[0-9]{3}-[0-9]{4}$", "-781-244-1212")

When run in Jupyter, we see the following results, that is the first number is conformant to the format and the second is not:

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