- Paperback: 138 pages
- Publisher: O'Reilly Media; 1 edition (October 3, 2011)
- Language: English
- ISBN-10: 1449310370
- ISBN-13: 978-1449310370
- Product Dimensions: 7 x 0.2 x 9.2 inches
- Shipping Weight: 4.8 ounces (View shipping rates and policies)
- Average Customer Review: 6 customer reviews
- Amazon Best Sellers Rank: #1,593,339 in Books (See Top 100 in Books)
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MongoDB and Python: Patterns and processes for the popular document-oriented database 1st Edition
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About the Author
Niall O'Higgins is a software consultant specializing in mobile, tablet and cloud computing. His accomplishments include designing and implementing numerous mobile and web platforms using MongoDB, Python and Pylons/Django/Pyramid. Prior to starting his consulting business, he was a software engineer at Metaweb Technologies, where he worked on Freebase.com (now owned by Google). He is the founder and organizer of both the San Francisco Python Web Technology Meet-up, PyWebSF and the Bay Area Tablet Computing Group, We Have Tablets. He has published quite a bit of Open Source software - contributing to OpenBSD and Pyramid among others - and frequently speaks at conferences and events.
Top customer reviews
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This book is a collection of quick installation walk throughs and minimal examples. The examples are repetitive: the same setup code shown, at length, with a very few lines of new code to illustrate a point. Don't look for patterns that will stick with you, and don't look for hints about building production systems. Do look for detailed instructions on doing installations that are second nature to any Python programmer.
At ten dollars, this is overpriced. There is enough material for about 10 pages of modestly utility. That's a dollar a page. High, even in these days of low publishing cost and high margin.
I'm so disappointed, I learned in less than 6 hours doing a online course everything that has in this book, totally waste of money...
What makes Python and MongoDB an agile combination is the ability to be extremely productive very quickly and this book does so as well. "MongoDB & Python" is a short book, basically 53 pages of actual content. However, it does an excellent job of getting developers up to speed and also is short enough that development managers might even read it.
So this book weighs in at just under 53 pages--this is not a 'work in progress' but the final version. So that's the most conspicuous issue i have with this book, but it's not the only one. In other words, this book is not 53 pages of densely packed, penetrating insight.
Nor even close; the content that does fill these 53 pages is sometimes average and sometimes worse. For instance, this is a book about a language-specific client library for a database server. At the top of the list of topics to include should be any idiosyncratic features of the client library--i.e., those that you can't intuit from a knowledge of Mongo and Python. In other words, the unusual features of the language-specific bindings vis-a-vis the parent library are clearly the priority subject matter for such a book. One such area is the use of regular expressions in a query; the Python client uses a completely different syntax and structure versus Mongo (and also when compared with other client libraries), and yet this subject is never even mentioned in this book
Sadly the book is really basic, so while it was helpful to get the hang of the syntax, I could have learned that from their documentation. They reuse a lot of code between examples, making them rather repetitive and don't really show off any examples that show the benefits of having a document store like MongoDB. Furthermore, the book is only 53 pages, which really doesn't justify the price. So I'd skip this one and just go for the online documentation and experimenting yourself.