This repository is inspired by "Learn Data Structures and Algorithms with Golang" by Bhagvan Kommadi. The goal of this project is to gain a deep understanding of data structures and algorithms, implementing them in Golang to build scalable, high-performance applications.
This book is a comprehensive guide on how to use the best data structures and algorithms to solve real-world problems efficiently with Golang. It’s packed with practical, hands-on tutorials, and covers critical aspects of selecting the right algorithms to boost application performance.
-
Optimizing Performance
Choosing the most suitable data structures and algorithms to improve application efficiency. -
Classic Algorithms
Implementing timeless algorithms like recursion, hashing, and sorting. -
Efficient Memory Management
Applying concepts like garbage collection for effective memory use. -
Analyzing Trade-Offs
Learning how to evaluate the trade-offs in terms of cost and speed for different data structures and algorithms. -
Algorithm Pseudocode and Interview Prep
Practicing writing pseudocode and honing problem-solving skills for coding interviews. -
Speed and Efficiency Considerations
Avoiding common pitfalls by understanding the efficiency of each algorithm and data structure.
Reading this book has been invaluable, giving me hands-on experience in implementing scalable solutions and selecting efficient data structures. It's a must-read for anyone looking to advance in Go and build robust applications. Highly recommended!
This repository contains implementations and experiments with different data structures and algorithms based on this book. Dive in to start exploring!