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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Splitting, partitioning, and joining strings

In Chapter 2, Simple Data Types, we looked at different processing methods for a string object. We can transform a string into a new string, create strings from non-string data, access a string to determine properties or locations within the string, and parse a string to decompose it.

In many cases, we need to extract elements of a string. The split() method is used to locate repeating list-like structures within a string. The partition() method is used to separate the head and tail of a string.

For example, given a string of the form "numerator=355,denominator=115" we can use these two methods to locate the various names and values. Here's how we can decompose this complex string into pieces:

>>> text="numerator=355,denominator=115"
>>> text.split(",")
['numerator=355', 'denominator=115']
>>> items= _
>>> items[0].partition("=")
('numerator...
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