QA and best practices
In this section, you can find all the best practices and quality assurance (QA) articles, with tips and reccomendations to keep your automation code in top shape.
How to handle task failures in Robot Framework RPA robots
Strategies for handling potentially brittle tasks.
Naming best practices for robots and coding in general
Good naming communicates intent, serves as documentation, and improves maintainability. Learn the best practices regarding naming things!
Documentation
Best practices regarding documentation in your Robotic Process Automation projects
Options for checking your RPA scripts
A general overview of some available options for checking your Robot Framework RPA scripts using --dryrun and robotframework-lint
Retry logic
Best practices regarding handling retry logic in robotic process automation scripts.
Dependency versioning
Using fixed versions of dependencies such as Python packages is a best practice.
Version control
Best practices regarding version control in RPA software robots
Best practices in creating Python robots
When using Robot Framework, you are essentially using Python, but you can also write your robots in pure Python. In any case, you should strive to write pythonic code.
Environment validation and hardening
Best practices regarding environment validation and hardening
Sharing robot code and libraries
Best practices regarding sharing and reusing functionality across robots.
Unit testing with Python
How to test your Python libraries with pytest - a practical guide.
Unit testing with Robot Framework
How to test your Python libraries with Robot Framework - a practical guide.