MongoDB and Python - Info and Reading Options
Patterns and Processes for the Popular Document-oriented Database
By Niall O'Higgins
"MongoDB and Python" was published by O'Reilly Media in 2011 - Sebastopol, CA, the book is classified in Computers genre, it has 67 pages and the language of the book is English.
“MongoDB and Python” Metadata:
- Title: MongoDB and Python
- Author: Niall O'Higgins
- Language: English
- Number of Pages: 67
- Is Family Friendly: Yes - No Mature Content
- Publisher: O'Reilly Media
- Publish Date: 2011
- Publish Location: Sebastopol, CA
- Genres: Computers
“MongoDB and Python” Subjects and Themes:
- Subjects: ➤ Object-oriented databases - Python (Computer program language) - Open source software - Database management - Python (computer program language) - MongoDB
Edition Specifications:
- Format: [electronic resource] /
Edition Identifiers:
- Google Books ID: ZWlTu8oU3mcC
- The Open Library ID: OL25567460M - OL16986921W
- Online Computer Library Center (OCLC) ID: 768491209
- ISBN-13: 9781449310370 - 9781449312817
- ISBN-10: 1449310370
- All ISBNs: 9781449310370 - 9781449312817 - 1449310370
AI-generated Review of “MongoDB and Python”:
Snippets and Summary:
Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book.
"MongoDB and Python" Description:
Google Books:
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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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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