Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Expert Python Programming

You're reading from   Expert Python Programming Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789808896
Length 646 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
Arrow right icon
View More author details
Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Before You Start FREE CHAPTER
2. Current Status of Python 3. Modern Python Development Environments 4. Section 2: Python Craftsmanship
5. Modern Syntax Elements - Below the Class Level 6. Modern Syntax Elements - Above the Class Level 7. Elements of Metaprogramming 8. Choosing Good Names 9. Writing a Package 10. Deploying the Code 11. Python Extensions in Other Languages 12. Section 3: Quality over Quantity
13. Managing Code 14. Documenting Your Project 15. Test-Driven Development 16. Section 4: Need for Speed
17. Optimization - Principles and Profiling Techniques 18. Optimization - Some Powerful Techniques 19. Concurrency 20. Section 5: Technical Architecture
21. Event-Driven and Signal Programming 22. Useful Design Patterns 23. reStructuredText Primer 24. Other Books You May Enjoy

Advanced syntax

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

  • Iterators
  • Generators
  • Decorators
  • Context managers

Iterators

An iterator is nothing more than a container object that implements the iterator protocol. This protocol consists of 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image