https://github.com/shivabhusal/algorithms_n_data_structures
Contains all common algorithm theories and implementation in various languages like C, Ruby, etc
https://github.com/shivabhusal/algorithms_n_data_structures
algorithms c data-structures learning ruby
Last synced: 3 months ago
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Contains all common algorithm theories and implementation in various languages like C, Ruby, etc
- Host: GitHub
- URL: https://github.com/shivabhusal/algorithms_n_data_structures
- Owner: shivabhusal
- Created: 2017-05-06T13:25:27.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-07-06T11:20:06.000Z (over 8 years ago)
- Last Synced: 2025-04-13T03:58:43.018Z (6 months ago)
- Topics: algorithms, c, data-structures, learning, ruby
- Language: C
- Homepage: https://shivabhusal.github.io/algorithms_n_data_structures/
- Size: 102 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Algorithms and Data Structures
## Table of Contents
- [Data Structures](data_structures/)
## Intent
I wish to include as more algoritms and DataStructure implementations as possible. I need your aid because it should be a community effor. Anybody can be benifited from this repository.
Contains common algorithms and DS implementation in various languages like C, Ruby, etc.
# Requirements
This library uses `CSpec` testing Framework to write testcases. The CSpec is a new concept, we are planning to
take this project forward and extract out as a separate library. For simpler assertion we are using `assert.h` library though.
### Installation
For implementations libraries
In your test.c
```c
// If your file is at /sorting/algo_spec.c then
// include `cspec.c` if you wish to assert using methods defined in that library
#include '../../cspec/cspec.c'
// assuming like algorithms/cspec/cspec.c
```
And finally
```sh
# .out for linux users, .exe for windows users
$ gcc -o test.out test_spec.c
# To execute
$ ./test.out
```
# Contributions
You are welcome to ask questions and create pull requests. Feel free to create pull requests for the following:-
- You feel to add any missing implementation of any DS or algorithms
- must include documentations and useful links along with it
- code must be well aligned, covered with **test-cases** and commented
- You wish to correct any mistakes
- You wish to add documentations
- You wish to optimize code already existing
# License ( MIT )
See this [MIT License](https://opensource.org/licenses/MIT)
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Copyright Shiva Bhusal(c) 2017