30 Essential Algorithms In Python
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30 Essential Algorithms in Python
Explore the Core of Computing with "30 Essential Algorithms in Python". Dive into the world of algorithms with this insightful guide, perfect for anyone passionate about computer science. Whether you're a student starting your journey, a professional seeking to deepen your understanding, or a coding enthusiast eager to explore, this book is your gateway to mastering some of the most fundamental and powerful algorithms in computing. Unlock the Secrets of Algorithms: From sorting and searching to graph theory and beyond, discover the mechanisms behind 30 essential algorithms. Programmed Solutions in Python. Each algorithm is accompanied by its implementation in Python, providing practical, ready-to-use solutions. Real-World Applications: Understand not just the "how" but also the "why" as each algorithm is tied to its real-world applications. "Essential Algorithms: A Practical Approach" is more than a book; it's a journey into the heart of algorithmic thinking. Equip yourself with the knowledge and skills to tackle real-world problems with confidence and creativity. Embrace the world of algorithms today!
Essential Algorithms
A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).
Python Algorithms
Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, 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 in a highly 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 that are built into the Python language are explained, and the user is shown how to implement and evaluate others.