Python Algorithms: Mastering Basic Algorithms in the Python Language PDF Download Ebook. Magnus Lie Hetland explains the Python approach to algorithm analysis and design. This book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs.
Well-known algorithms and data structures are built into the Python language are explained, and the user is shown how to implement and evaluate others himself. You’ll learn to transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvable.
You can analyze algorithms and Python programs both using mathematical tools and basic experiments and benchmarks, prove correctness, optimality, or bounds on approximation error for Python programs and their underlying algorithms so readers are able to understand several classical algorithms and data structures in depth, and be able to implement these efficiently in Python.
You can design and implement new algorithms for new problems, using time-tested design principles and techniques, speed up implementations, using a plethora of tools for high-performance computing in Python.
The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful.
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