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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
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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

Python DB API 2.0

PostgreSQL is not the only relational database and of course it is 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 is called the Python Database API. By the time this book was written, it already had the second 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: This 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 that can differ depending on the database and the driver that is used.
  • ...
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