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Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
Author Profile Icon Salahaldin Juba
Salahaldin Juba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 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

Summary

Databases are often used as a storage component of a complex software solution. Even if they could implement complex logic in triggers and functions, there is still a need for external applications to implement user interface. It is quite common to separate storage logic from business logic. In this case, the business logic is also performed in external applications.

In this chapter, you learned how to connect to a PostgreSQL database from applications written in Python. There are several libraries for Python that provide different programming interfaces for developers. Some of them implement the standard Python DB API and some do not. There are implementations of ORM (Object Relational Mapping) for Python that work well with PostgreSQL.

The following low level libraries were described in this chapter: psycopg2, pg8000 and asyncpg. They make it possible...

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