{"id":15636870,"url":"https://github.com/dpsanders/fisicacomputacional2017_2","last_synced_at":"2025-04-13T10:52:16.078Z","repository":{"id":85651773,"uuid":"80454419","full_name":"dpsanders/FisicaComputacional2017_2","owner":"dpsanders","description":null,"archived":false,"fork":false,"pushed_at":"2017-06-19T12:01:51.000Z","size":1478,"stargazers_count":3,"open_issues_count":0,"forks_count":10,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-10-23T07:21:07.683Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/dpsanders.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":"2017-01-30T19:20:23.000Z","updated_at":"2020-03-12T02:41:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"26989769-0c8d-46a4-9a81-cd3146d26cde","html_url":"https://github.com/dpsanders/FisicaComputacional2017_2","commit_stats":{"total_commits":112,"total_committers":4,"mean_commits":28.0,"dds":0.4821428571428571,"last_synced_commit":"bfcb2048eab58bebeb6a446c5aff5118e14fa731"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpsanders%2FFisicaComputacional2017_2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpsanders%2FFisicaComputacional2017_2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpsanders%2FFisicaComputacional2017_2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpsanders%2FFisicaComputacional2017_2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dpsanders","download_url":"https://codeload.github.com/dpsanders/FisicaComputacional2017_2/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":229034203,"owners_count":18009504,"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":[],"created_at":"2024-10-03T11:08:35.867Z","updated_at":"2024-12-10T09:07:28.926Z","avatar_url":"https://github.com/dpsanders.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Física Computacional\n\n#### Semestre 2017-2, grupo 8196\n##### Departamento de Física, Facultad de Ciencias, Universidad Nacional Autónoma de México\n\n### Profesor: Dr. David P. Sanders\n#### Ayudantes:\n* **Ilya Orson Sandoval Cárdenas** `ilya.orson@ciencias.unam.mx`\n* **Ignacio Loaiza Ganem** `ignacio.loaiza@ciencias.unam.mx`\n\nPara dudas sobre las tareas o preguntas aleatorias ---\u003e [![Join the chat at https://gitter.im/dpsanders/FisicaComputacional2017_2](https://badges.gitter.im/dpsanders/FisicaComputacional2017_2.svg)](https://gitter.im/dpsanders/FisicaComputacional2017_2?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge\u0026utm_content=badge)\n\n## El lenguaje Julia\nEn este curso, usaremos exclusivamente el lenguaje de programación [Julia](http://julialang.org/),\nya que consideramos que es la mejor opción para el cómputo científico.\n\nJulia se puede utilizar en la nube, sin necesidad de instalar nada, en\nhttps://juliabox.com/\n\nSi prefieres instalarlo en una computadora (lo cual se recomienda si es posible),\nse puede bajar de http://julialang.org/downloads/\n\n\n\nJulia es **software libre** y **completamente gratis**.\nFunciona en (casi) cualquier sistema operativo (Linux, Mac, Windows, ARM, etc.)\n\n## El Notebook de Jupyter\n\nUn entorno práctico para llevar a cabo investigaciones científicas con Julia es el [**Jupyter Notebook**](http://jupyter.org/), a través del paquete de Julia `IJulia`.\n\nConsulta el archivo `instalacion.md` de este repositorio para más detalles sobre la instalación de IJulia.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdpsanders%2Ffisicacomputacional2017_2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdpsanders%2Ffisicacomputacional2017_2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdpsanders%2Ffisicacomputacional2017_2/lists"}