$ show youngyangyang04/leetcode-master
This repository is a comprehensive educational collection of algorithm problem solutions for LeetCode and Kamacoder (ACM mode), organized as a structured learning path for interview preparation. It contains over 350 Markdown files, each providing a detailed explanation, multiple solution approaches, and code in C++, Java, Python, Go, JavaScript, and many other languages. The content is purely pedagogical and static—not a runnable application or a data pipeline. It serves as the online companion to the '代码随想录' (programmercarl.com) book and video series. The repository demonstrates high consistency in formatting and pedagogical templates, but it is not software engineering; the 'craftsmanship' lies in the educational structure rather than in software architecture. It is hybrid in the sense that some files include empirical complexity analysis, but the dominant character is an educational resource.
The LLM identified 4 files worth highlighting for reuse:
A central reference file containing reusable code snippets for common algorithms: binary search, KMP, tree traversals, backtracking, union-find, sliding window, monotonic stack, and more. Each snippet is self-contained with parameterized functions and can be directly extracted into a new project. The file demonstrates the pattern of consolidating algorithm templates for quick lookup and reuse.
Implements a complete linked list class with operations: get, addAtHead, addAtTail, addAtIndex, deleteAtIndex. Provides C++ and Python implementations with both singly and doubly linked list versions. The code is self-contained, follows a clear interface, and can serve as a template for any project requiring a custom linked list with all standard methods.
A standalone tutorial on the union-find data structure, including path compression and union by rank. Contains C++ implementation of a UnionFind class with find, isSame, and join methods. The code is well-structured, commented, and can be extracted as a reusable library for any graph connectivity problem.
Provides utility functions to construct a binary tree from an array input (level order) and print it in level order. The functions are self-contained, handle edge cases, and can be reused in ACM-style problems or any context where a binary tree needs to be built from a linear representation.