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https://github.com/ernanej/data-science-dca0131
Files, developed throughout the 2024.1 semester of the Data Science discipline taught at the Federal University of Rio Grande do Norte by the Department of Computer Engineering and Automation (DCA). 📚
https://github.com/ernanej/data-science-dca0131
big-data data-analysis data-science ia
Last synced: 27 days ago
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Files, developed throughout the 2024.1 semester of the Data Science discipline taught at the Federal University of Rio Grande do Norte by the Department of Computer Engineering and Automation (DCA). 📚
- Host: GitHub
- URL: https://github.com/ernanej/data-science-dca0131
- Owner: ErnaneJ
- Created: 2024-04-06T22:39:14.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-08-23T10:23:30.000Z (3 months ago)
- Last Synced: 2024-08-23T11:24:24.765Z (3 months ago)
- Topics: big-data, data-analysis, data-science, ia
- Language: Python
- Homepage: https://diabetes-data-analysis.streamlit.app/
- Size: 5.63 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data Science - DCA0131 🗄️
Files, developed throughout the 2024.1 semester of the Data Science discipline taught at the Federal University of Rio Grande do Norte by the Department of Computer Engineering and Automation (DCA). 📚
## Development 🚀
### Prerequisites ⚙️
- Python 3.12.2 🐍
- pip 24.0 📦
### Requirements 📋
```bash
pip install -r requirements.txt
```
> If necessary, use [virtualenv](./docs/using-virtualenv.md). 🔄
```bash
# Navegue para o diretório do seu projeto
cd path
# Desative o ambiente virtual, se estiver ativado
deactivate # Se o venv estiver ativado, isso o desativa
# Verifique o caminho do Python atual (deve ser o global, não o do venv)
which python
# Verifique o caminho do pip atual (deve ser o global, não o do venv)
which pip # Certifique-se de que o pip está no mesmo caminho do Python
# Remova o ambiente virtual antigo, se existir
rm -rf venv # Apaga o diretório 'venv' e seu conteúdo
# Crie um novo ambiente virtual
python3 -m venv venv # Cria um novo ambiente virtual chamado 'venv'
# Ative o novo ambiente virtual
source venv/bin/activate # Ativa o ambiente virtual recém-criado
# Verifique o caminho do Python novamente (deve ser o do venv agora)
which python
# Verifique o caminho do pip novamente (deve ser o do venv agora)
which pip # Certifique-se de que pip está no mesmo caminho do Python no venv
# Instale as dependências listadas em requirements.txt
pip install -r requirements.txt # Instala os pacotes necessários listados em requirements.txt
```
### Execute ▶️
```bash
python3 main.py
```