https://github.com/my-python-projects/jpy-studies
This repository is dedicated to studying, practicing, and revisiting exercises and coding challenges in Python. It serves as a personal space to reinforce programming concepts, explore new techniques, and improve problem-solving skills through hands-on examples.
https://github.com/my-python-projects/jpy-studies
decorators match matching patterns python python3 pythonpattern study study-project
Last synced: 9 days ago
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This repository is dedicated to studying, practicing, and revisiting exercises and coding challenges in Python. It serves as a personal space to reinforce programming concepts, explore new techniques, and improve problem-solving skills through hands-on examples.
- Host: GitHub
- URL: https://github.com/my-python-projects/jpy-studies
- Owner: my-python-projects
- Created: 2025-10-29T21:05:39.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-12-20T22:46:04.000Z (about 1 month ago)
- Last Synced: 2025-12-22T21:02:20.371Z (about 1 month ago)
- Topics: decorators, match, matching, patterns, python, python3, pythonpattern, study, study-project
- Language: Python
- Homepage:
- Size: 36.1 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🐍 jpy-studies
[🇺🇸 English](#english-version) | [🇧🇷 Português](#portuguese-version)
-----
This repository is dedicated to **studying, practicing, and revisiting exercises and coding challenges in Python**. It serves as a personal space to reinforce programming concepts, explore new techniques, and improve problem-solving skills through hands-on examples.
### 📚 Goals
* Revisit core Python fundamentals.
* Practice small coding challenges and algorithms.
* Experiment with decorators, data structures, and OOP.
* Build a personal library of Python snippets and reusable patterns.
### 🧠 Topics Covered
* Functions and decorators
* File handling and logging
* Exception handling
* Data structures (lists, sets, dicts)
* Object-Oriented Programming
* Unit testing with `pytest`
### ⚙️ How to Use
1. Clone the repository:
```bash
git clone https://github.com/jprogram/jpy-studies.git
```
2. Navigate into the project folder:
```bash
cd jpy-studies
```
3. Explore the folders — each one contains a different topic, challenge, or exercise.
### 🚀 Purpose
This repository is **not intended for production use**. It’s a learning and experimentation environment aimed at improving Python coding proficiency.
### 🧾 License
This repository is available for **personal and educational use**.
----
Este repositório é dedicado a **estudar, praticar e relembrar exercícios e desafios em Python**. Ele serve como um espaço pessoal para reforçar conceitos de programação, explorar novas técnicas e aprimorar habilidades de resolução de problemas por meio de exemplos práticos.
### 📚 Objetivos
* Relembrar os fundamentos essenciais do Python.
* Praticar pequenos desafios e algoritmos.
* Experimentar com decoradores, estruturas de dados e POO.
* Construir uma biblioteca pessoal de trechos e padrões reutilizáveis em Python.
### 🧠 Tópicos Abordados
* Funções e decoradores
* Manipulação de arquivos e logging
* Tratamento de exceções
* Estruturas de dados (listas, conjuntos, dicionários)
* Programação Orientada a Objetos
* Testes unitários com `pytest`
### ⚙️ Como Usar
1. Clone o repositório:
```bash
git clone https://github.com/jprogram/jpy-studies.git
```
2. Navegue até a pasta do projeto:
```bash
cd jpy-studies
```
3. Explore as pastas — cada uma contém um tópico, desafio ou exercício diferente.
### 🚀 Propósito
Este repositório **não é destinado ao uso em produção**. Ele é um ambiente de aprendizado e experimentação voltado ao aprimoramento da proficiência em Python.
### 🧾 Licença
Este repositório está disponível para **uso pessoal e educacional**.