{"id":16866033,"url":"https://github.com/lukemathwalker/ndarray-koans","last_synced_at":"2026-02-27T19:09:48.356Z","repository":{"id":48520328,"uuid":"214803478","full_name":"LukeMathWalker/ndarray-koans","owner":"LukeMathWalker","description":"Material for \"ML Introduction to ndarray\" workshop at RustFest 2019.","archived":false,"fork":false,"pushed_at":"2021-03-20T02:06:52.000Z","size":372,"stargazers_count":115,"open_issues_count":3,"forks_count":20,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-11-02T16:27:48.397Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://barcelona.rustfest.eu/sessions/machine-learning-ndarray","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LukeMathWalker.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}},"created_at":"2019-10-13T10:52:16.000Z","updated_at":"2025-08-17T07:54:37.000Z","dependencies_parsed_at":"2022-09-23T09:31:24.234Z","dependency_job_id":null,"html_url":"https://github.com/LukeMathWalker/ndarray-koans","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LukeMathWalker/ndarray-koans","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LukeMathWalker%2Fndarray-koans","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LukeMathWalker%2Fndarray-koans/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LukeMathWalker%2Fndarray-koans/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LukeMathWalker%2Fndarray-koans/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LukeMathWalker","download_url":"https://codeload.github.com/LukeMathWalker/ndarray-koans/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LukeMathWalker%2Fndarray-koans/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29909327,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-27T17:28:36.873Z","status":"ssl_error","status_checked_at":"2026-02-27T17:28:20.970Z","response_time":57,"last_error":"SSL_read: 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":[],"created_at":"2024-10-13T14:49:17.703Z","updated_at":"2026-02-27T19:09:48.338Z","avatar_url":"https://github.com/LukeMathWalker.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# An ML introduction to ndarray\n\nHappy RustFest!\n\nIt's my pleasure to welcome you to the *ML introduction to ndarray* workshop!\n\nThe material is structured as a series of exercises, or koans, that you can find in the `src/koans` directory.\n\nYou can get started with\n```bash\ngit clone git@github.com:LukeMathWalker/ndarray-koans.git\ncd ndarray-koans\ncargo run\n```\nFollow the instructions shown in the terminal to start the first exercise.\n\nEnjoy!\n\n## Requirements\n\n### Software\n\n* Rust 1.38 (or higher) with `cargo`\n    * Check [link](https://www.rust-lang.org/tools/install) for installation instruction if you don't have Rust installed on your machine\n    * If you already have Rust installed, run `rustc --version` to check the version.\n      Run `rustup update` if you need to update your toolchain (if you installed using `rustup`)\n\nThere are some Jupyter notebooks that you will have to run to perform some data visualisations. Install\ninstructions for those are in `python/README.md`.\n\n### Knowledge\n\nA basic knowledge of Rust is assumed (the first half of the [book](https://doc.rust-lang.org/book/)?).\nIf you run into any issue with the language, please ping me and we'll sort it together!\n\n## References\n\nThroughout the workshop, the following resources might turn out to be useful:\n\n* [Scientific Computing: A Rust adventure](https://www.lpalmieri.com/posts/2019-02-23-scientific-computing-a-rust-adventure-part-0-vectors/): an\n  introduction to `ndarray` that assumes no Rust knowledge (not complete yet 😅);\n* The [Rust Book](https://doc.rust-lang.org/book/);\n* Docs for the crates in the `ndarray` ecosystem:\n    * [`ndarray`](https://docs.rs/ndarray/0.13.0/ndarray/)\n    * [`ndarray-rand`](https://docs.rs/ndarray-rand/0.11.0/ndarray_rand/)\n    * [`ndarray-stats`](https://docs.rs/ndarray-stats/0.3.0/ndarray/)\n    * [`ndarray-npy`](https://docs.rs/ndarray-npy/0.5.0/ndarray_npy/)\n    * [`ndarray-linalg`](https://docs.rs/ndarray-linalg/0.12.0/ndarray_linalg/)\n* If you are familiar with Python's `NumPy`, check [`ndarray` for `NumPy` users](https://docs.rs/ndarray/0.13.0/ndarray/doc/ndarray_for_numpy_users/index.html).\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flukemathwalker%2Fndarray-koans","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flukemathwalker%2Fndarray-koans","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flukemathwalker%2Fndarray-koans/lists"}