MongoDB and Python
About this book
Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks.The recipes will help you:Read, write, count, and sort documents in a MongoDB collectionLearn how to use the rich MongoDB query languageMaintain data integrity in replicated/distributed MongoDB environmentsUse embedding to efficiently model your data without joinsCode defensively to avoid keyerrors and other bugsApply atomic operations to update game scores, billing systems, and more with the fast accounting patternUse MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks
Reader Profile
3.8/5 · 2 readers · 138 pages · ≈ 2 h 33 m · Moderate
How long does it take to read MongoDB and Python?
About ≈ 2 h 33 m — 138 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is MongoDB and Python?
138 pages in its most-read edition.
Is MongoDB and Python in the public domain?
No — it is still under copyright.
Who wrote MongoDB and Python?
Niall O'Higgins.