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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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Toc

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

Alternative drivers for PostgreSQL

In this section, we will take a closer look at two other PostgreSQL libraries for Python. The first one, pg8000, also implements the DB-API 2.0. This makes it very similar to Psycopg 2. The difference is that it's not dependent on the libpq library, and is written entirely in Python. This makes the library very lightweight, and applications that would use it are easily portable.

The second one, asyncpg, doesn't implement the Python DB-API. It uses a binary protocol to communicate with a PostgreSQL database and asynchronous API in the applications. This makes it possible to create very fast database applications that perform a great amount of commands in a short time.

pg8000

To install...

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