Python quality engineering - A tour of best practices

Python quality engineering - A tour of best practices

Python is one of the most popular, and the fastest-growing, programming language in 2017. From its scripting roots and rudimentary tooling, it is now used to develop complex and/or business-critical applications that need proper discipline and tooling to scale meeting their quality requirements.

In this talk, aimed at developer with at least some basic knowledge of the Python language, we will review:

- Best / recent tools and practices to deal with dependencies and virtual environments
- Tools and patterns to scale your projects
- Software quality: static code analysis (including optional type annotations, aka PEP 484 and PEP 526), metrics, unit testing…
- Packaging and/or deployment
- Monitoring apps in production

E91a97baa90dd7f5a267c79a2cbb04b2?s=128

Stefane Fermigier

December 08, 2017
Tweet