haoel/leetcode
Leetcode
This project is a library of source code implementations designed to solve algorithmic challenges and mathematical problems. It serves as a collection of solved LeetCode problems, providing a reference for data structure usage and efficient logic.
The repository is a polyglot code collection, implementing the same algorithmic logic across various programming environments, including general-purpose languages, SQL for database queries, and Bash for shell scripting.
The content covers a broad range of computational tasks, including data querying, text processing, and the implementation of complex data structures. These solutions are organized by problem identifiers and categorized by algorithmic patterns such as sliding windows and two-pointer techniques.
The project maintains a manual static indexing system to track solved problems and utilizes automation scripts to generate documentation and inject metadata into source files.
Features
- Algorithmic Problem Sets - Provides a comprehensive library of source code implementing data structures and algorithms to solve complex computational and mathematical problems.
- Algorithmic Problem Solving - Implements efficient solutions for complex computational challenges to demonstrate data structure usage.
- Algorithmic Problem Solving - Provides a specialized collection of data structures and algorithms for solving complex computational challenges.
- SQL Challenge Solutions - A set of optimized database scripts and queries designed to solve data retrieval and manipulation tasks.
- Competitive Programming Repositories - Organizes solved problems by category and algorithm type as a reference for competitive programming.
- Technical Interview Preparation - Offers a curated set of solved coding challenges designed for software engineering interview preparation.
- Challenge Solutions - Groups diverse problem solutions by their underlying algorithmic strategies into a collection of solved challenges.
- Competitive Programming Solutions - Implements optimized algorithm solutions and database queries specifically designed to solve LeetCode and competitive programming challenges.
- Algorithmic Patterns - Employs recurring algorithmic strategies and templates, such as sliding windows and two-pointer techniques.
- Algorithmic Reference Implementations - Provides a comprehensive library of isolated code patterns demonstrating specific computational logic.
- Multi-Language Implementations - Provides collections of reference implementations for algorithms and data structures across multiple programming languages.
- Polyglot Application Development - Implements the same algorithmic logic across multiple programming environments including SQL and Bash.
- Polyglot Logic Replication - Implements identical algorithmic logic across multiple environments including SQL, Bash, and general-purpose languages.
- Static Document Indexing - Maintains a centralized documentation file acting as a manual registry for tracking and linking solved problems.
- Data Filtering - Implements multi-criteria record filtering using boolean flags and numeric thresholds.
- SQL Logic Optimization - Implements refined database scripts to retrieve and manipulate data efficiently.
- Database Query Execution - Implements optimized SQL queries for complex data retrieval and manipulation challenges.
- Temporal - Implements a key-value store capable of retrieving values based on timestamps.
- Shell Scripting Libraries - Provides a library of Bash scripts for algorithmic text processing and file management.
- Static Indexing Tools - Maintains a centralized text registry and table of contents to track and link solved problems.
- Polyglot Implementation Examples - Implements identical algorithmic logic across multiple programming environments including general-purpose languages, SQL, and Bash.
- Shell Scripting Snippets - Provides practical examples for common shell scripting tasks and database query automation.
- Tree Reconstruction - Implements algorithms to rebuild binary tree structures from preorder traversal strings.
- Programming Languages - Algorithmic coding challenges for C++ preparation.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
