Gain a solid understanding of algorithms and improve your problem-solving abilities using
Python code. With practical examples and clear explanations this book bridges the gap between
dense academic texts and overly simple industry guides. Focusing on the logic behind
essential algorithms such as Breadth First Search (BFS) Depth First Search (DFS)
Divide-and-Conquer Greedy Methods and Dynamic Programming the book provides ample examples
from easy to more advanced. By connecting these concepts to real-world examples such as chess
strategies and the Seam Carving the book helps readers better grasp and apply algorithms. Each
chapter also includes fully implemented Python code making it a practical reference.
Mastering Algorithms with Python is ideal for IT professionals looking to enhance their skills
and approach algorithms with clarity and confidence. What You Will Learn · Understand
foundational algorithms such as BFS DFS Divide-and-Conquer Greedy Methods Dynamic
Programming through practical examples · Implement algorithms in Python with
step-by-step guidance and fully functional code for future reference · Build a solid
foundation in advanced concepts such as Minimum Spanning Trees Fast Fourier Transform and
Monte Carlo Tree Search · Quickly review Python essentials including data types flow
control generators decorators and classes to enhance your algorithmic understanding
