It's very likely that throughout your journey with Python, you've heard people say that Python is slow. While there is a gap between interpreted and compiled languages ​​that favors compiled languages, Python has ways to improve the performance of your programs, but these aren't widely known among coders. In this talk, we'll explore some tools and programming patterns that will help you improve the performance of your programs, thereby improving the speed of your applications, tests, and products. After the presentation, you'll have a list of techniques you can apply to your code, as well as the necessary steps to continue exploring code optimization. No prior knowledge of code profilers or advanced techniques is required to attend this talk.