{"id":22174436,"url":"https://github.com/italoseara/cet083","last_synced_at":"2026-05-03T01:32:07.441Z","repository":{"id":207262647,"uuid":"718821434","full_name":"italoseara/CET083","owner":"italoseara","description":"Medidas de Posição (ou separatrizes) - CET083","archived":false,"fork":false,"pushed_at":"2023-11-29T00:51:43.000Z","size":1013,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-29T22:46:43.587Z","etag":null,"topics":["data-science","matplotlib","numpy","pandas","portuguese","python","statistics","university"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/italoseara.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-11-14T21:39:52.000Z","updated_at":"2023-11-16T02:28:36.000Z","dependencies_parsed_at":"2025-01-29T22:43:25.445Z","dependency_job_id":"6086b148-c155-482e-a93f-b9dbe1c9af4b","html_url":"https://github.com/italoseara/CET083","commit_stats":null,"previous_names":["italoseara/cet083"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/italoseara%2FCET083","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/italoseara%2FCET083/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/italoseara%2FCET083/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/italoseara%2FCET083/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/italoseara","download_url":"https://codeload.github.com/italoseara/CET083/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245325222,"owners_count":20596818,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","matplotlib","numpy","pandas","portuguese","python","statistics","university"],"created_at":"2024-12-02T07:50:05.263Z","updated_at":"2026-05-03T01:32:07.415Z","avatar_url":"https://github.com/italoseara.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Medidas de Posição (ou separatrizes) - CET083\n\n## Descrição\n\nEste repositório contém o código fonte do trabalho da disciplina CET083 - Probabilidade e Estatística, do curso de Ciência da Computação da Universidade Estadual de Santa Cruz (UESC), ministrada pelo professor [Dr. José Cláudio Faria](https://lec.pro.br/professores/jcfaria/pag-pessoal).\n\n## Visualização (sem instalação)\n\nÉ possível visualizar o notebook, executar e modificar as células sem instalar nada através do [Google Colab](https://colab.research.google.com/github/italoseara/CET083/blob/main/pos.ipynb).\n\nTambém é possível visualizar o notebook como código estático através do [nbviewer](https://nbviewer.org/format/script/github/italoseara/CET083/blob/main/pos.ipynb).\n\n## Instalação e Execução\n\n- Instale [Python 3.12](https://www.python.org/downloads/windows/) ou superior.\n- Instale o [Jupyter Notebook](https://jupyter.org/install).\n- Clone o repositório com o comando `git clone https://github.com/italoseara/CET083`.\n- Acesse o diretório do projeto com o comando `cd CET083`.\n- Instale as dependências do projeto com o comando:\n  - `py -m pip install -r requirements.txt` (Windows)\n  - `python3 -m pip install -r requirements.txt` (Linux)\n- Execute o comando `jupyter notebook` para iniciar o servidor do Jupyter Notebook.\n- Acesse o endereço `http://localhost:8888` no seu navegador.\n- Abra o arquivo `pos.ipynb` e execute as células.\n\nOBS.: Algumas ótimas alternativas ao Jupyter Notebook são o [Google Colab](https://colab.research.google.com/), que não requer instalação e a extensão do [Jupyter](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) para o [Visual Studio Code](https://code.visualstudio.com/).\n\n## Dúvidas\n\nEm caso de dúvidas, abra uma [issue](https://github.com/italoseara/CET083/issues) ou entre em contato com os autores.\n\n## Autores\n\n- [Italo Seara](https://github.com/italoseara)\n- [Lucas Luige](https://github.com/lluigecm)\n- [Gabriel Prado](https://github.com/Gabriel-Prd)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitaloseara%2Fcet083","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fitaloseara%2Fcet083","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitaloseara%2Fcet083/lists"}