{"id":15253868,"url":"https://github.com/eduardoprofe666/mn-api","last_synced_at":"2026-01-04T22:10:52.177Z","repository":{"id":222240699,"uuid":"728993266","full_name":"EduardoProfe666/mn-api","owner":"EduardoProfe666","description":"🐍📦 Paquete de Python con implementaciones de métodos numéricos","archived":false,"fork":false,"pushed_at":"2024-02-25T05:14:54.000Z","size":56,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-25T14:42:06.579Z","etag":null,"topics":["mn-api","numerical-methods","numpy","pandas","python","scipy","simpy","tabulate"],"latest_commit_sha":null,"homepage":"https://pypi.org/project/mn-api/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EduardoProfe666.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-12-08T06:46:18.000Z","updated_at":"2024-02-13T06:08:44.000Z","dependencies_parsed_at":"2024-11-14T15:50:06.635Z","dependency_job_id":null,"html_url":"https://github.com/EduardoProfe666/mn-api","commit_stats":null,"previous_names":["eduardoprofe666/mn-api"],"tags_count":10,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EduardoProfe666%2Fmn-api","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EduardoProfe666%2Fmn-api/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EduardoProfe666%2Fmn-api/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EduardoProfe666%2Fmn-api/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EduardoProfe666","download_url":"https://codeload.github.com/EduardoProfe666/mn-api/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244639071,"owners_count":20485816,"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":["mn-api","numerical-methods","numpy","pandas","python","scipy","simpy","tabulate"],"created_at":"2024-09-29T22:01:19.962Z","updated_at":"2026-01-04T22:10:47.133Z","avatar_url":"https://github.com/EduardoProfe666.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MN Api\n\n![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54)\n![Pipy](https://img.shields.io/badge/pypi-3775A9?style=for-the-badge\u0026logo=pypi\u0026logoColor=white)\n![Numpy](https://img.shields.io/badge/Numpy-777BB4?style=for-the-badge\u0026logo=numpy\u0026logoColor=white)\n![SciPy](https://img.shields.io/badge/SciPy-%230C55A5.svg?style=for-the-badge\u0026logo=scipy\u0026logoColor=%white)\n![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge\u0026logo=githubactions\u0026logoColor=white)\n![example workflow](https://github.com/EduardoProfe666/mn-api/actions/workflows/pypy.yml/badge.svg)\n\n\u003e [!WARNING]\n\u003e El paquete aún se encuentra en desarrollo por lo que pueden existir errores\n\nEl paquete es una migración de todas las funcionalidades\ndesarrolladas en el proyecto\nde [Matemática Numérica](https://github.com/EduardoProfe666/Matematica-Numerica-Google-Colab/).\n\nContiene implementaciones de los principales métodos numéricos dados\nen Matemática Numérica.\n\n## ⚙️ Estructura y Funcionalidades\n\nLa siguiente lista proporciona la estructura y principales\nfuncionalidades de la api:\n\n- [x] _**Capítulo 1: Teoría de Errores**_\n  - [x] **Cifras**\n      - Cifras decimales\n      - Cifras significativs\n      - Cifras exactas\n  - [x] **Medidas del Error**\n      - Error\n      - Error absoluto\n      - Error relativo\n      - Mínimo error absoluto máximo\n- [x] _**Capítulo 2: Raíces de Ecuaciones Algebraicas**_\n  - [x] **Separación de Raíces**\n      - Bolzano-Cauchy\n      - Descartes\n      - Lagrange\n      - Método Gráfico\n  - [x] **Resolución de ecuaciones algebraicas**\n      - Bisección\n      - Newton-Raphson\n      - Regula-Falsi\n      - Secantes\n- [x] _**Capítulo 3: Sistemas de Ecuaciones Lineales y Matrices**_\n  - [x] **Métodos** \n    - Método de Jacobi\n    - Método de Gauss-Seidel\n  - [x] **Utilidades**\n    - Conversión de matrices AX=B -\u003e X=MX+C\n    - Matriz con diagonal predominante\n    - Factor de convergencia\n- [x] _**Capítulo 4: Aproximación de Funciones**_\n  - [x] **Métodos**\n    - Método de Lagrange\n    - Método de Newton o Diferencias Divididas\n- [ ] _**Capítulo 5: Integración Numérica**_\n- [ ] _**Capítulo 6: Optimización Numérica**_\n- [ ] _**Capítulo 7: Ecuaciones Diferenciales Ordinarias**_\n\n## 📄 Importación y documentación\n\n\u003e [!IMPORTANT]\n\u003e La documentación se encuentra en desarrollo. Pronto estará disponible\n\nPara poder importar el paquete, ejecute en cualquier consola:\n\n```shell\npip install mn-api\n```\n\nLa documentación de la api se encuentra disponible [aquí](https://github.com/EduardoProfe666/mn-api-docs)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feduardoprofe666%2Fmn-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feduardoprofe666%2Fmn-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feduardoprofe666%2Fmn-api/lists"}