Python Performance Optimization

Write faster, more efficient Python code, with simple, focused performance techniques.

This course teaches you how to optimize Python code by understanding performance bottlenecks and applying the right tools and strategies. You'll go from basic profiling to real-world code improvements that speed up execution, reduce memory use, and make your Python applications more scalable.

🎓 What you’ll learn:

✅ How to measure performance with built-in Python tools
✅ Spot common performance bottlenecks in code
✅ Speed up loops, data structures, and algorithms
✅ Understand the impact of memory use and garbage collection
✅ Optimize I/O and file handling
✅ BONUS: How to think about performance early in your projects

🚀 Why take this course?

Many developers write slow code without realizing it, or waste time optimizing the wrong parts. This course gives you the mindset and skills to optimize what matters, using Python-native tools and techniques that work in real projects.

“Performance isn’t magic. It’s knowing what to measure, and what to fix.”

📦 What’s included:

🎥 Full video course with step-by-step lessons
📁 Source code examples you can test and adapt
🧪 Real examples that apply to scripts, apps, and automation

💡 Ideal for intermediate Python users and developers working with data, scripts, or apps that need to go faster.

⭐ What others say:

"Excellent course. Clear and concrete examples."

— Marcos

"A really good course! The explanations are clear and the code is crisp and to the point. It would be even better with a bit more detail on how other languages achieve shorter runtimes, but overall, it’s a great learning experience."

— Akshay

"Good course on how to validate and optimize code in Python."

— Alfonso