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Mastering Django: Core

You're reading from   Mastering Django: Core The Complete Guide to Django 1.8 LTS

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Product type Paperback
Published in Dec 2016
Publisher
ISBN-13 9781787281141
Length 694 pages
Edition 1st Edition
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Author (1):
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Nigel George Nigel George
Author Profile Icon Nigel George
Nigel George
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Table of Contents (33) Chapters Close

Mastering Django: Core
Credits
About the Author
www.PacktPub.com
Preface
1. Introduction to Django and Getting Started FREE CHAPTER 2. Views and URLconfs 3. Templates 4. Models 5. The Django Admin Site 6. Forms 7. Advanced Views and URLconfs 8. Advanced Templates 9. Advanced Models 10. Generic Views 11. User Authentication in Django 12. Testing in Django 13. Deploying Django 14. Generating Non-HTML Content 15. Django Sessions 16. Djangos Cache Framework 17. Django Middleware 18. Internationalization 19. Security in Django 20. More on Installing Django 21. Advanced Database Management Model Definition Reference Database API Reference Generic View Reference Settings Built-in Template Tags and Filters Request and Response Objects Developing Django with Visual Studio

Setting up the cache


The cache system requires a small amount of setup. Namely, you have to tell it where your cached data should live; whether in a database, on the filesystem or directly in memory. This is an important decision that affects your cache's performance.

Your cache preference goes in the CACHES setting in your settings file.

Memcached

The fastest, most efficient type of cache supported natively by Django, Memcached (for more information visit http://memcached.org/) is an entirely memory-based cache server, originally developed to handle high loads at LiveJournal.com and subsequently open-sourced by Danga Interactive. It's used by sites such as Facebook and Wikipedia to reduce database access and dramatically increase site performance.

Memcached runs as a daemon and is allotted a specified amount of RAM. All it does is provide a fast interface for adding, retrieving and deleting data in the cache. All data is stored directly in memory, so there's no overhead of database or filesystem...

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