Debugging and Code Optimization in Python

Learn to track bugs and make your code faster and more efficient with the right tools and techniques.

Learn to track bugs and make your code faster and more efficient with the right tools and techniques.

Read errors and stack traces

Use pdb (built-in debugger)

Workshop: fix a buggy script

Time and memory complexity (basics)

Code profiling (timeit, cProfile)

Challenge: improve algorithm efficiency

Refactoring (clearer and faster code)

Remove redundancies, improve data structures

Case study: compare two approaches

Developer & Instructor

I hunt bugs and performance bottlenecks. Make your code fast, clean, and robust!

1 week ago

I reduced my script’s runtime from 10 seconds to 2 seconds. Magic!

Absolutely! You can filter, log to files, and easily disable it. It’s professional.

No! We start with obvious issues. Often, a small change makes a huge difference.

01 Is logging better than print?