Runtime analysis of code with plotting
A quick comparison among Python, Cython, and the C languages
A Programming Assignment regarding the Programming Language Design course.
(Fall 2021)
Table of Contents
About The Project
In this project, we are comparing the execution time of four different approaches, including :
- Pure C
- Optimized Cython
- Non-Optimized Cython
- Pure Python
Built With
- Python
- VS Code
- Cython docs
- Matplotlib
- thanks to Color hunt
Getting Started
Prerequisites
- Python 3, An IDE
- C compiler (gcc, ...)
- Cython lib
- matplotlib
Installation
- Clone the repo
git clone https://github.com/CenaAshoori/sort_cython
- Install requirement :
pip install cython
pip install matplotlib
Usage
Cython enables you to create extension modules from Python, Cython, or C code to a compiled version of it, which is much faster compared to just using python.
Numpy, for example, uses this method
How it Works
we have implemented bubble sort in 4 diffrent methods :
- C
- An optimized Cython
- Non optimized Cython
- Python
to import first three methods you must build them using its setup file in its folder
#TODO
Testing and Screenshots
Screenshots:
License
Distributed under the MIT License. See LICENSE
for more information.
Author Info:
First and Last Name | Student Number | Username |
---|---|---|
Mohammad Hossein(Cena) Ashoori | 97149068 |
Link |
Mohammad Mehdi Afkhami | 97149008 |
Link |
Parsa KamaliPour | 97149081 |
Link |