An open API service indexing awesome lists of open source software.

https://github.com/mateusadada/sop-udesc

Operating System course in the third semester of the Bachelor's Degree in Information Systems at UDESC
https://github.com/mateusadada/sop-udesc

escalonador escalonador-de-processos final-project final-work matplotlib-pyplot pyplot python python-3 python3 udesc

Last synced: 8 months ago
JSON representation

Operating System course in the third semester of the Bachelor's Degree in Information Systems at UDESC

Awesome Lists containing this project

README

          

Operating System - UDESC



The final project


Stars Badge
Forks Badge
Pull Requests Badge
Issues Badge
Views count Badge


GitHub contributors
License Badge

## 📜 Table of contents

- [Starting](#-starting)
- [Features](#-features)
- [Prerequisites](#-prerequisites)
- [Built with](#️-built-with)
- [Author](#️-author)
- [License](#-license)

## 🚀 Starting

This repository contains [the final project](https://github.com/mateusadada/sop-udesc/blob/main/final_project/escalonadores_Look_e_C-Look.py) from Operating System course in the third semester. An algorithm in Python was created to compare the Look and C-Look process schedulers through a graphical representation. I used an example of a hard drive (HD) where the levels/blocks range from 0 to 999. For each scheduler, I organized two lists:

1. Numbers that are equal to or greater than 500.
2. The remaining numbers.

Then, I utilized the [Matplotlib](https://pypi.org/project/matplotlib/) library for their intersection and the generation of the graph.

It was fundamental to improve my knowledge in this language and it also helped with my Bachelor's Degree in Information Systems at [UDESC](https://www.udesc.br/).

## 📚 Features

Used during the evolution of course and the final project:

- Introduction to Operating Systems.
- Multiprogramming.
- Concurrent programming.
- Process management.
- Memory management.
- Input and output management.
- File system.
- Study of the major Operating Systems.

## 📋 Prerequisites

You need to have the Python language on your machine along with an IDE (Integrated Development Environment) or a website that can run the codes. For example:

* [IDE PyCharm](https://www.jetbrains.com/pycharm/)
* [IDE Visual Studio Code](https://code.visualstudio.com/)
* [Website Replit](https://replit.com/)
* [Website PythonAnywhere](https://www.pythonanywhere.com/)
* [Website Codecademy](https://www.codecademy.com/)

## 🛠️ Built with

* [Python 3](https://www.python.org/) - The programming language used.
* [Matplotlib](https://pypi.org/project/matplotlib/) - The library for the graph.

## ✒️ Author

* **Mateus Adada** - *Developer and documentation* - [mateusadada](https://github.com/mateusadada)

You can also see the list of all [collaborators](https://github.com/mateusadada/sop-udesc/graphs/contributors) who participated in this project.

## 📄 License

This project is under the license MIT. See the [LICENSE.md](https://github.com/mateusadada/sop-udesc/blob/main/LICENSE) file for more details.


Developed with ❤️ in Brazil 🇧🇷