Quicksort Explained
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Go Data Structures Explained: A Practical Guide with Examples
"Go Data Structures Explained: A Practical Guide with Examples" delves into the foundational and advanced aspects of data structures within the Go programming language, offering a detailed exploration suitable for both students and seasoned programmers. The book begins by guiding readers through the intricacies of setting up the Go environment, ensuring they have all the necessary tools for effective development. Readers are introduced to Go's syntax and fundamental concepts, setting a solid base for understanding more complex data structures and algorithms that follow. Following the foundational concepts, the book systematically addresses various native and dynamic data structures, including arrays, slices, strings, linked lists, trees, hash tables, stacks, queues, heaps, and graphs. Each chapter provides in-depth explanations, complemented by practical examples, code snippets, and real-world applications. Through this comprehensive coverage, readers can expect to understand essential operations, algorithms, and efficient data manipulation techniques, enhancing their ability to tackle complex programming challenges using Go. The book not only caters to those seeking to solidify their comprehension of data structures but also provides valuable insights into concurrent programming, sorting, and searching algorithms. By presenting practical coding examples and case studies, readers are empowered to apply their learning effectively in real-world scenarios. "Go Data Structures Explained" is an invaluable resource for anyone aiming to harness the power of Go to develop efficient, scalable, and robust software solutions, making it an essential addition to any programming library.
Java Data Structures Explained: A Practical Guide with Example
This book provides a precise and comprehensive exploration of data structures and algorithms using the Java programming language. It begins with core language concepts, including syntax, program structure, and object-oriented principles, setting a solid foundation before gradually advancing to more complex topics. The text methodically introduces fundamental data structures like arrays and lists, progressing to linked lists and other linear structures with practical code examples that reinforce the theoretical concepts. Intermediate chapters delve into more advanced data structures, including stacks, queues, deques, trees, and binary search trees, emphasizing their operational mechanics and practical applications. Detailed analyses of algorithmic processes such as traversal, insertion, deletion, and balancing are presented alongside clear, step-by-step demonstrations. The integration of performance considerations and optimization techniques offers valuable insights into efficient programming practices relevant to both academia and industry. Aimed at beginners and intermediate learners, this guide provides a structured approach to mastering Java data structures with clarity and precision. It equips readers with the skills required to implement and manipulate various data structures effectively, ensuring they are well-prepared to solve real-world computational problems. The combination of technical rigor and practical application makes the book an essential resource for developing robust problem-solving and programming capabilities in Java.
Algorithms in a Nutshell
Author: George T. Heineman
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2008-10-14
Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.