Making Sense of Programming Algorithms Foundations
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Unleash the power of algorithms and transform your programming skills! In today's tech-driven world, mastering algorithms is a brilliant way to boost your career, pick up a fun new hobby, and stay at the forefront of innovation. But where do you start if you are a complete beginner? Making Sense of Programming Algorithms Foundations is a deeply practical handbook that empowers readers to unleash the power of algorithms with real-world examples and easy-to-digest lessons. Specially written by seasoned IT professional Robert Setiadi, PhD, this guide walks you through the fundamentals of algorith...
Unleash the power of algorithms and transform your programming skills! In today's tech-driven world, mastering algorithms is a brilliant way to boost your career, pick up a fun new hobby, and stay at the forefront of innovation. But where do you start if you are a complete beginner? Making Sense of Programming Algorithms Foundations is a deeply practical handbook that empowers readers to unleash the power of algorithms with real-world examples and easy-to-digest lessons. Specially written by seasoned IT professional Robert Setiadi, PhD, this guide walks you through the fundamentals of algorithms, revealing how you can master the essentials of coding and become a problem-solving virtuoso. Specially written with handy illustrations and pseudocodes that suit beginner and experienced programmers alike, this book reveals the secret to designing efficient algorithms for a diverse set of challenges. Readers will explore the world of divide and conquer technique, greedy algorithms, dynamic programming, search tree traversal, and many others. Here is just a little of what you will discover inside:Abstract data types Divide and conquer, greedy algorithm, dynamic programming Huffman coding, search tree, branch and bound Big O complexity analysis Test coverage Topics beyond basic, including brief introduction to artificial intelligence and much more... This book is a must-read for students, aspiring programmers, experienced software developers revisiting the basics, or anyone who wants to understand how algorithms work.
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