Classical tasks of Computer Science in Python

Many tasks in the field of Computer Science, which at first glance seem new or unique, are actually rooted in classical algorithms, coding methods and development principles. And the established techniques are still the best way to solve such problems! Learn to write the optimal code for web development, data processing, machine learning and other relevant Python use areas.
The book will give you the opportunity to learn the Python language deeper, check yourself on time tested, exercises and algorithms. You have to solve dozens of programming tasks: from the simplest (for example, find the list elements using binary sorting), to complex (perform data clustering by the K-medium) Working out examples dedicated to the search, clustering, graphs, etc., you will remember what you managed to forget and master the classical techniques for solving everyday problems.
In this book
- Search algorithms.
- generalized technologies for graphs.
- neural networks.
- genetic algorithms.
- Competitive search.
- the use of annotations of types in the described tasks