Go Data Structures and Algorithms is an open source tool for learning and rehearsing data structures and algorithms in Go.

Nov 22, 2023 · Understanding data structures is fundamental for writing performant code, and Go provides a range of built-in data structures as well as the flexibility to create custom ones. Data structures...

Algorithms and Data Structures implemented in Go for beginners, following best practices.

Jan 18, 2023 · Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solving; Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews; Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency

With this hands-on, practical course, you'll first have a deep dive into understanding the basic data types, structures, linked lists and doubly linked lists in Go. Then, you will learn about graph algorithms such as binary & trees.

Learn the foundations and master writing optimized code. Download "Data Structures and Algorithms with Go" by Dušan Stojanović in PDF today! Who Is This Guide For? Beginner Developers. Those new to Go who want to effectively use data structures in their projects. Developers with Experience in Other Languages.

go-datastructures - Collection of useful, performant, and thread-safe data structures. gods - Go Data Structures. Containers, Sets, Lists, Stacks, Maps, BidiMaps, Trees, HashSet etc. gostl - Data structure and algorithm library for go, designed to provide functions similar to C++ STL.

This free book is a concise introduction to data structures and algorithms in Go. Data structures are presented in a container hierarchy that includes stacks and queues as non-traversable dispensers, and lists, sets, and maps as traversable collections.

Dive into Maps in Go with this specialized course where you will explore their implementation, practical applications, and problem-solving methodology in algorithms. Acquire hands-on experience and become proficient in addressing data analysis and management challenges.

Gain insights into data structures and algorithms in Go. Delve into arrays, stacks, queues, hash tables, trees, greedy algorithms, and dynamic programming with hands-on coding.