MongoDB and Python: Patterns and processes for the popular document-oriented database
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 collection
·
Learn how to use
the rich MongoDB query language
·
Maintain data
integrity in replicated/distributed MongoDB environments
·
Use embedding to
efficiently model your data without joins
·
Code defensively to
avoid keyerrors and other bugs
·
Apply atomic
operations to update game scores, billing systems, and more with the fast
accounting pattern
·
Use MongoDB with
the Pylons 1.x, Django, and Pyramid web frameworks
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