https://github.com/raphaelalmeidamartins/python-inventory-report

Python data science project developed js at the end of Unit 34 (Computer Science Module) of the Trybe's Web Development course
https://github.com/raphaelalmeidamartins/python-inventory-report

data-science pytest python

Last synced: about 2 months ago
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Python data science project developed js at the end of Unit 34 (Computer Science Module) of the Trybe's Web Development course

• Host: GitHub
• URL: https://github.com/raphaelalmeidamartins/python-inventory-report
• Owner: raphaelalmeidamartins
• Created: 2022-11-02T20:55:25.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-24T13:23:49.000Z (over 3 years ago)
• Last Synced: 2025-12-26T13:45:12.919Z (7 months ago)
• Topics: data-science, pytest, python
• Language: Python
• Homepage:
• Size: 260 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# :snake: Python Inventory Report :package:

![cover](./cover.png)

## :page_with_curl: About/Sobre

  :us: English


Python data science project developed by [Raphael Martins](https://www.linkedin.com/in/raphaelameidamartins/) at the end of Unit 34 ([Computer Science Module](https://github.com/raphaelalmeidamartins/trybe_exercicios/tree/main/4_Ciencia-da-Computa%C3%A7%C3%A3o)) of Trybe's Web Development course. I was approved with 100% of the mandatory and optional requirements met.

We had to develop an inventory report generator using Object-Oriented Programming (OOP) and test eveything with the Pytest library. You can generate reports by importing files in XML, CSV and JSON formats.




  :brazil: Português


Projeto de Python e ciência de dados desenvolvido por [Raphael Martins](https://www.linkedin.com/in/raphaelameidamartins/) ao final do Bloco 34 ([Módulo Ciência da Computação](https://github.com/raphaelalmeidamartins/trybe_exercicios/tree/main/4_Ciencia-da-Computa%C3%A7%C3%A3o)) do curso de Desenvolvimento Web da Trybe. Fui aprovado com 100% dos requisitos obrigatórios e opcionais atingidos.

Tivemos que desenvolver um gerador de relatórios de estoque utilizando Programação Orientada a Objetos (POO) e aplicando testes com a biblioteca Pytest. É possível gerar relatórios importando arquivos nos formatos XML, CSV e JSON.




## :man_technologist: Developed Skills/Habilidades Desenvolvidas

  :us: English


* Use Object-Oriented Programming (OPP) with Python

* Use design patterns

* Read and write files (XML, CSV, JSON)




  :brazil: Português


* Aplicar conceitos de Programação Orientada a Objetos (POO) em Python

* Aplicar padrões de projeto (design patterns)

* Leitura e escrita de arquivos (XML, CSV, JSON)




## :hammer_and_wrench: Tools/Ferramentas

* Python

* Pytest

## :trophy: Grade/Nota

![My grade of the project - Minha nota no projeto](./nota.png)