Optimization can often help to make Python programs faster or use less memory. Developing a strategy, establishing solid measuring and visualization techniques as well as knowing about algorithmic basics and datastructures are the foundation for a successful optimization. The tutorial will cover these topics. Examples will give you a hands-on experience on how to approach efficiently.
Using Python since 1999, trainer and CEO at Python Academy. The chairman of Python Software Verband, a PSF Fellow, a PSF community service award holder and a User Group co-founder.