# Scaling Python released

DevFeed: [Scaling Python released](<https://devfeed.tech/articles/scaling-python-released-34575.md>)

Original publisher: [Read original article](<https://tapoueh.org/blog/2017/12/scaling-python-released/>)

Author: Dimitri Fontaine PostgreSQL Major Contributor; Author

Published: 2017-12-05T17:10:00Z

Content type: release

Language: en

Sources: [Dimitri Fontaine](<https://devfeed.tech/sources/dimitri-fontaine.md>)

Topics: [Python](<https://devfeed.tech/topics/python.md>), [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [backends](<https://devfeed.tech/topics/backends.md>), [Caching](<https://devfeed.tech/topics/caching.md>)

Tags: [announce](<https://devfeed.tech/tags/announce.md>), [applications](<https://devfeed.tech/tags/applications.md>), [backends](<https://devfeed.tech/tags/backends.md>), [book](<https://devfeed.tech/tags/book.md>), [books](<https://devfeed.tech/tags/books.md>), [caching](<https://devfeed.tech/tags/caching.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [python](<https://devfeed.tech/tags/python.md>), [release](<https://devfeed.tech/tags/release.md>)

## AI overview

The article announces the release of Julien Danjou's book Scaling Python and includes an interview about its audience and focus. The book addresses designing Python applications for high request volumes through approaches such as stateless architecture, workload distribution, and caching; it does not specifically cover PostgreSQL.

## Source excerpt

Today I am very pleased to announce the release of the book Scaling Python from my good friend Julien Danjou! As Julien says, Python applications can handle millions of requests. Well, we know here that it's easier on them when they are using PostgreSQL of course!