halfrost/LeetCode-Go

Features

• Competitive Programming Solutions - A collection of optimized algorithm implementations for LeetCode challenges written in Go with full test coverage.
• Algorithmic Problem Solving - Provides optimized implementations of algorithmic problems to meet strict competitive programming constraints.
• Competitive Programming Repositories - Provides a structured collection of solved competitive programming problems focused on time and space complexity.
• Algorithm Libraries - Acts as a comprehensive Go library reference for implementing various data structures and algorithms.
• Algorithms and Complexity - Implements solutions with a strict focus on time and space complexity for computational efficiency.
• Algorithmic Performance Optimizations - Optimizes algorithm runtime and memory usage for computationally intensive programming tasks.
• Testing & Quality Assurance - Includes comprehensive test suites to verify the correctness of algorithm implementations against edge cases.
• Table-Driven Tests - Uses table-driven test suites to validate algorithm correctness across diverse input cases.
• Technical Interview Preparation - Serves as a study resource for common coding patterns and efficient implementations for technical interviews.
• Go Idioms & Patterns - Demonstrates the application of Go idioms and standard library features in solving complex data structure problems.
• Learning and Reference - Solutions to LeetCode problems in Go.

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