项目介绍

fakhra-najm/DataStructure 是一个托管在 GitHub 上的开源项目,主要使用 C 编写,目前获得 69 个 Star、25 次 Fork。

仓库全名
fakhra-najm/DataStructure
Star 数
69
Fork 数
25
未关闭 Issue
2

README 摘要

Data Structures Collection of classic and advanced data structure implementations written in C/C++. The code is inspired by the course "Mastering Data Structures and Algorithms using C and C++" by Abdul Bari and is organised so each concept lives in its own folder. Features Examples for arrays, linked lists, trees, graphs, heaps and more Simple, portable C/C++ code with minimal dependencies Build every example at…

完整内容见 GitHub 原始 README 或本页 。

常见问题

DataStructure 用什么语言开发?

主要使用 C 编写,目前有 69 个 Star。

如何获取 DataStructure 的源码?

可以直接克隆仓库:git clone https://github.com/fakhra-najm/DataStructure.git,默认分支为 master;安装与运行步骤见仓库 README。

DataStructure 最近还在维护吗?

仓库最近一次更新为 4月20日,当前有 2 个未关闭 Issue;Star 数为 69,可作为社区活跃度的参考。

关于

implementation of Datastructure in C/C++ Programming Language

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
121
价值分
49
活跃状态
活跃

语言占比

C
C++
Makefile

README

Data Structures

Collection of classic and advanced data structure implementations written in C/C++. The code is inspired by the course “Mastering Data Structures and Algorithms using C and C++” by Abdul Bari and is organised so each concept lives in its own folder.

Features

  • Examples for arrays, linked lists, trees, graphs, heaps and more
  • Simple, portable C/C++ code with minimal dependencies
  • Build every example at once with make
  • Suitable as a reference for students and hobbyists

Build

Clone this repository and run make to compile all programs:

git clone https://github.com/najm09/DataStructure.git
cd DataStructure
make

Compiled binaries will be placed next to their source files with the .app extension.

Contributing

Pull requests or fixes are always appreciated!

Directories Description

1. Arrays

2. Matrices

3. LinkedList

4. Stack

5. Queue

6. binarytree

7. BST

8. AVL

  • Performing Rotation while Generation of BST

9. Heap

10. HashTable

11. Graph

12. Advanced : Not in Course


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