Python Algorithms in easy steps presents a clear, practical tour of the algorithms every programmer benefits from knowing. Each chapter focuses on a small, self-contained family of techniques, fast number methods, smarter ways to search and sort, essential string handling, core data structure patterns, and the recursive tools that simplify complex problems. The emphasis is on clarity and mechanical understanding: minimal examples, predictable behavior, and ideas that transfer directly into everyday code. By working through these chapters, readers build a compact toolkit for writing programs that are faster, cleaner, and easier to reason about across a wide range of tasks.

Python Algorithms in easy steps assumes the reader is familiar with Python basics – for example, the use of Python built-in functions. But algorithms go one step further…