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
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