MongoDB and Python: Patterns and processes for the popular document-oriented database

by Niall O'Higgins

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:

Genres: Computer Science, Programming, Technical

64 pages, Paperback

First published September 16, 2011

Reviews

[TN · Rating 4 out of 5]

It is short, but useful book. I found some good examples and explanations behind them.

[Sagar · Rating 4 out of 5]

Clean, clear and concise explanation on the concepts. His ideas in words are pretty clear supported by code.

[Navaneethan · Rating 4 out of 5]

1. Atomic Execution(findAndModify, update modifiers), 2. Indexing 3. Geo Spatial query are explained good in simple manner

[Sapan Patel]

Good read for an just an overview of sync between Python and MongoDB !!

[Jack Challis · Rating 3 out of 5]

Nice review of how to link Python to MongoDB, and the strength of document-oriented databases more generally.