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DCA0131 🗄️\n\nFiles, 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). 📚\n\n## Development 🚀\n\n### Prerequisites ⚙️\n\n- Python 3.12.2 🐍\n- pip 24.0 📦\n\n### Requirements 📋\n\n```bash\npip install -r requirements.txt\n```\n\n\u003e If necessary, use [virtualenv](./docs/using-virtualenv.md). 🔄\n\n```bash\n# Navegue para o diretório do seu projeto\ncd path\n\n# Desative o ambiente virtual, se estiver ativado\ndeactivate  # Se o venv estiver ativado, isso o desativa\n\n# Verifique o caminho do Python atual (deve ser o global, não o do venv)\nwhich python\n\n# Verifique o caminho do pip atual (deve ser o global, não o do venv)\nwhich pip  # Certifique-se de que o pip está no mesmo caminho do Python\n\n# Remova o ambiente virtual antigo, se existir\nrm -rf venv  # Apaga o diretório 'venv' e seu conteúdo\n\n# Crie um novo ambiente virtual\npython3 -m venv venv  # Cria um novo ambiente virtual chamado 'venv'\n\n# Ative o novo ambiente virtual\nsource venv/bin/activate  # Ativa o ambiente virtual recém-criado\n\n# Verifique o caminho do Python novamente (deve ser o do venv agora)\nwhich python\n\n# Verifique o caminho do pip novamente (deve ser o do venv agora)\nwhich pip  # Certifique-se de que pip está no mesmo caminho do Python no venv\n\n# Instale as dependências listadas em requirements.txt\npip install -r requirements.txt  # Instala os pacotes necessários listados em requirements.txt\n\n```\n\n### Execute ▶️\n\n```bash\npython3 main.py\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fernanej%2Fdata-science-dca0131","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fernanej%2Fdata-science-dca0131","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fernanej%2Fdata-science-dca0131/lists"}