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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Advanced syntax

It is hard to objectively tell which element of language syntax is advanced. For the purpose of this chapter on advanced syntax elements, we will consider the elements that do not directly relate to any specific built-in datatypes and which are relatively hard to grasp at the beginning. The most common Python features that may be hard to understand are:

  • Iterators
  • Generators
  • Decorators
  • Context managers

Iterators

An iterator is nothing more than a container object that implements the iterator protocol. It is based on two methods:

  • __next__: This returns the next item of the container
  • __iter__: This returns the iterator itself

Iterators can be created from a sequence using the iter built-in function. Consider the following example:

>>> i = iter('abc')
>>> next(i)
'a'
>>> next(i)
'b'
>>> next(i)
'c'
>>> next(i)
Traceback (most recent call last):
  File "<input>", line 1, in <module&gt...
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