{"id":19021477,"url":"https://github.com/mlabonne/linear-programming-course","last_synced_at":"2026-03-13T16:33:56.039Z","repository":{"id":168013297,"uuid":"484503229","full_name":"mlabonne/linear-programming-course","owner":"mlabonne","description":"Hands-on course about linear programming and mathematical optimization.","archived":false,"fork":false,"pushed_at":"2023-06-04T12:49:03.000Z","size":371,"stargazers_count":107,"open_issues_count":0,"forks_count":15,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-10-19T08:54:11.280Z","etag":null,"topics":["constraint-programming","integer-linear-programming","integer-programming","linear-programming","mixed-integer-programming"],"latest_commit_sha":null,"homepage":"https://mlabonne.github.io/blog/","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/mlabonne.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,"zenodo":null}},"created_at":"2022-04-22T16:36:21.000Z","updated_at":"2025-09-30T11:24:46.000Z","dependencies_parsed_at":"2025-04-17T09:25:04.384Z","dependency_job_id":"060a003d-1f16-47a3-be7e-b7f5ed8e4d03","html_url":"https://github.com/mlabonne/linear-programming-course","commit_stats":null,"previous_names":["mlabonne/linear-programming-course"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mlabonne/linear-programming-course","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Flinear-programming-course","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Flinear-programming-course/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Flinear-programming-course/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Flinear-programming-course/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mlabonne","download_url":"https://codeload.github.com/mlabonne/linear-programming-course/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Flinear-programming-course/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30471103,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-13T11:00:43.441Z","status":"ssl_error","status_checked_at":"2026-03-13T11:00:23.173Z","response_time":60,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["constraint-programming","integer-linear-programming","integer-programming","linear-programming","mixed-integer-programming"],"created_at":"2024-11-08T20:22:06.316Z","updated_at":"2026-03-13T16:33:56.012Z","avatar_url":"https://github.com/mlabonne.png","language":"Jupyter Notebook","readme":"# 🥇 Linear Programming Course\n\nSeries of articles about **linear programming** and **mathematical optimization**.\n\nIn this course, you'll learn to use **Google OR-Tools** in order to **solve optimization and satisfiability problems** by building **mathematical models** in Python.\n\n| Chapter                               | Description                                                             | Article                                                                                     | Notebook                                                                                                                                             |\n|---------------------------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| 1. Introduction to Linear Programming | Learn to optimize an army with a simple problem using Google OR-Tools. | [Article](https://towardsdatascience.com/introduction-to-linear-programming-in-python-9261e7eb44b) | \u003ca href=\"https://colab.research.google.com/drive/1dbrFJwFv80kgUi13MfPO3KyumG-SVIHG?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 2. Integer vs. Linear Programming | Understand the difference between linear vs. other types of programming. | [Article](https://towardsdatascience.com/integer-programming-vs-linear-programming-in-python-f1be5bb4e60e) | \u003ca href=\"https://colab.research.google.com/drive/1aIKnXPEiXFo1M3U0EM6arE2teD9KkJdF?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 3. Constraint Programming | Introduction to Constraint Programming with CP-SAT and comparison with LP. | [Article](https://towardsdatascience.com/constraint-programming-67ac16fa0c81) | \u003ca href=\"https://colab.research.google.com/drive/1huTlPTaahdEEO29KKdlW9ic5zAwB3D58?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 4. Nonlinear Programming | Find the best allocation for marketing channels with diminishing returns. | [Article](https://mlabonne.github.io/blog/nonlinearprogramming) | \u003ca href=\"https://colab.research.google.com/drive/1V7z8giemuTk92s_JMxIyr1Clr2TwY7xl?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n\n## 👨‍💻 Contact\n\n* Email: \u003ca href=\"mailto:labonne.maxime@gmail.com\"\u003elabonne.maxime@gmail.com\u003c/a\u003e\n* Twitter: \u003ca href=\"https://twitter.com/maximelabonne\"\u003e@maximelabonne\u003c/a\u003e\n* Medium: https://medium.com/@mlabonne\n* Blog: https://mlabonne.github.io/blog/\n\nLet's connect on [Twitter](https://twitter.com/maximelabonne) and [Medium](https://medium.com/@mlabonne)!\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlabonne%2Flinear-programming-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlabonne%2Flinear-programming-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlabonne%2Flinear-programming-course/lists"}