This is a practical, example-driven guide to mastering MongoDB with Python for building scalable, maintainable applications. You'll begin with the essentials-the document model, collections, and drivers-then quickly move into real-world design and performance considerations: schema modeling (embedding vs. referencing), indexing strategies, and building efficient aggregation pipelines.Through clear, runnable examples, you'll learn how to: Implement CRUD operations, complex aggregations, geospatial and text queries, GridFS ...
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This is a practical, example-driven guide to mastering MongoDB with Python for building scalable, maintainable applications. You'll begin with the essentials-the document model, collections, and drivers-then quickly move into real-world design and performance considerations: schema modeling (embedding vs. referencing), indexing strategies, and building efficient aggregation pipelines.Through clear, runnable examples, you'll learn how to: Implement CRUD operations, complex aggregations, geospatial and text queries, GridFS for binary data, and multi-document transactions. Apply async programming with Motor to handle high-concurrency Python applications. Diagnose and tune slow queries with proven indexing workflows. Dedicated chapters cover operational best practices: backups, monitoring, security hardening, and scaling with replication and sharding. You'll also walk through deploying a sample web API (built with a popular Python framework) to MongoDB Atlas, demonstrating schema design, query optimization, and production readiness. Inside the book: Hands-on examples with PyMongo and Motor A complete web API project showcasing schema and performance tuning Checklists for backup, monitoring, and access control in production Recipes for profiling queries and selecting the right indexes By the end, you'll have the skills and confidence to design robust data models, write efficient queries, and run MongoDB-powered Python applications that scale seamlessly from prototype to production. Build smarter apps with MongoDB. Write them faster in Python.
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Add this copy of MongoDB and Python: Powerful and Scalable Data Storage to cart. $24.14, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of MongoDB and Python: Powerful and Scalable Data Storage to cart. $32.65, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
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Fine. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of MongoDB and Python: Powerful and Scalable Data Storage to cart. $32.95, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 248 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
