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Learning PostgreSQL 11

You're reading from   Learning PostgreSQL 11 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Christopher Travers Christopher Travers
Author Profile Icon Christopher Travers
Christopher Travers
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Table of Contents (18) Chapters Close

1. Relational Databases 2. PostgreSQL in Action FREE CHAPTER 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability 17. What's Next? 18. Other Books You May Enjoy

Python DB-API 2.0

PostgreSQL is not the only relational database, and of course it's not the only one you can use with Python. There is an API in Python that is designed to unify the way applications work with databases. It's called the Python Database API. By the time this book was written, it already had the second revision of its specification, defined in the Python Enhancement Proposal (PEP) 249. The specification of the Python DB-API 2.0 is available at https://www.python.org/dev/peps/pep-0249/.

The API defines the following objects that are used when connecting to a database and interacting with it:

  • Connection: Implements the logic of connecting to the database server, authenticating, and managing transactions. A connection is created by calling the connect() function with a number of parameters, which can differ depending on the database and the driver that is...
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