How to Audit the Quality of Your Python Code: Checklist and Sample Report

Find costly issues in your code and identify areas for improvement and optimization. With our guide, you’ll be able to run a Python code audit yourself and learn what you should expect when you hire others to do it.

python code audit checklist
Get your free Python code audit checklist and sample report

Every Python codebase needs an audit at different stages of its lifecycle.

Are you about to introduce a new product to the market? Have you just inherited a huge chunk of legacy code? Or maybe the investors demand a solid technical check before they decide if your product is worth backing?

In each of these cases, a thorough code audit is the only way to make sure that your product is of good quality, secure, and ready to show to the world.

A code audit helps you determine if your product is:

  • safe and secure,
  • bug-free,
  • maintainable,
  • up to date with the current standards,
  • aligned with coding best practices.

Without an audit, you’re risking serious consequences: a slowdown of your project due to technical debt, dangerous security issues, and more.

For everyone in need of running a thorough code audit—or at least seeing what a comprehensive one should look like—we prepared a checklist and a sample report from an audit.

It’s over 20 pages of pure knowledge and a perfect point of reference for your future work. 

By the time you’re finished, your Python code will be top-notch. You’ll sleep soundly knowing that no surprises will come back to haunt you.

How will this guide help you?

  • Tick off the items on your auditing list as you go. You won’t miss any vital steps!
  • Check out our audit example to see what a comprehensive one should look like. Treat is a basis for your own audit.
  • Educate yourself on good practices. Our sample audit is based on a real Python code audit we performed. See our recommendations and find room for improvement in your own code.