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

Product type Paperback

Published in Dec 2017

Publisher

ISBN-13 9781788392013

Length 488 pages

Edition 2nd Edition

Languages

Tools

PostgreSQL

Concepts

Database Programming

Authors (2):

Andrey Volkov

Salahaldin Juba

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Table of Contents (17) Chapters

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

Low-level database access with psycopg2

psycopg2 is one of the most popular PostgreSQL drivers for Python. It is compliant to the Python's DB API 2.0 specification. It is mostly implemented in C and uses the library, libpq. It is thread safe, which means that you can share the same connection object between several threads. It can work both with Python 2 and Python 3.

The official web page of the library is located at http://initd.org/psycopg/.

The driver psycopg2 can be installed with PIP on Linux from the command line as follows:

user@host:~$ sudo pip3 install psycopg2
[sudo] password for user: 
Collecting psycopg2
 Downloading psycopg2-2.7.3.1-cp35-cp35m-manylinux1_x86_64.whl (2.6MB)
 100% |██████████████████████...

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Authors (2)

Juba

Salahaldin Juba has over than a decade of experience in the industry and academia, with a focus on database development for large-scale and enterprise applications. He holds a master's degree of science in environmental management with a distinction, and a bachelor's degree of engineering in computer systems. He is also a Microsoft Certified Solution Developer (MCSD). He has worked mainly with SQL server, PostgreSQL, and Greenplum databases. As a software engineer, he works mainly with defining ETL processes with external parties, promoting SQL best practices, designing OLTP and OLAP applications, and providing training and consultation services.

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Volkov

Andrey Volkov studied information systems in banking, and started his career as a financial analyst at a commercial bank. He joined a data warehouse team, and after some time, he lead the team by taking the position of the data warehouse architect. There he worked mainly with Oracle database stack and used it to develop logical and physical models of financial and accounting data, implement them in the database, develop ETL processes, and perform analytical tasks. Now Andrey works as a senior database developer at a telecommunication provider. There, he works mainly with PostgreSQL databases, being responsible for data modeling, developing a data warehouse, reporting, and billing systems.

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