Python Algorithms in easy steps presents a clear, practical tour of the algorithms every programmer benefits from knowing

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 behaviour, 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…

• Built‑ins hide the mechanism – they give results but not the step‑by‑step process, cost, or behaviour.
• Custom behavior is often required – real code needs early‑exit, partial scans, custom comparisons, and hybrid strategies.
• Understanding algorithms improves debugging – you can spot slow paths, reason about edge cases, and choose better data structures.
• Algorithmic thinking transfers across languages – the habits you build here apply everywhere; not just in Python.
• Algorithms are the map; built‑ins are the destination – knowing the mechanics lets you adapt, extend, and design solutions; not just call them.

Sample pages:

To learn Python basics, check out:
Python in easy steps, 3^rd edition
Python for Beginners online course

About the author

Mike McGrath now lives in South-east Europe, on the sun-kissed shores of the Aegean Sea. Mike gained his extensive knowledge of computer languages while working as a developer contracting to companies around the world. His interests include coins of ancient Greece, dining-out with friends, and the ongoing evolution of the world wide web.

1. Fast Number Algorithms
2. Smart Searching Algorithms
3. Practical Sorting Algorithms
4. Essential String Algorithms
5. Data Structure Algorithms
6. Useful Recursive Algorithms
7. Problem-Solving Algorithms
8. Neat DateTime Algorithms