Particularly, practical computer science thrives on experimentation and hands-on activities. This forms the basis of the didactic concept of this book: all important classical algorithms are explained in a way that allows them to be practiced directly with Python. This immediate practical application of theoretical content makes the learning process significantly more interesting and effective. The focus is on implementation techniques and the presentation of elegant implementations. Heuristics are also discussed in great detail, as they are particularly important for many practical applications. The book offers a practical approach to algorithms and has more connections to programming methodology and programming techniques than to theoretical computer science.