{"id":23127597,"url":"https://github.com/alanmenchaca/numpy-notes","last_synced_at":"2026-05-08T04:11:51.663Z","repository":{"id":148405670,"uuid":"301641775","full_name":"alanmenchaca/numpy-notes","owner":"alanmenchaca","description":"collection of notes to learn numpy!","archived":false,"fork":false,"pushed_at":"2025-07-05T21:56:31.000Z","size":408,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-05T22:26:54.134Z","etag":null,"topics":["jupyter-notebooks","numpy","python"],"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/alanmenchaca.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":"2020-10-06T07:03:49.000Z","updated_at":"2025-07-05T21:56:34.000Z","dependencies_parsed_at":"2023-05-20T00:45:17.513Z","dependency_job_id":null,"html_url":"https://github.com/alanmenchaca/numpy-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alanmenchaca/numpy-notes","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alanmenchaca%2Fnumpy-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alanmenchaca%2Fnumpy-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alanmenchaca%2Fnumpy-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alanmenchaca%2Fnumpy-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alanmenchaca","download_url":"https://codeload.github.com/alanmenchaca/numpy-notes/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alanmenchaca%2Fnumpy-notes/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266465606,"owners_count":23933159,"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","status":"online","status_checked_at":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"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":["jupyter-notebooks","numpy","python"],"created_at":"2024-12-17T09:14:02.305Z","updated_at":"2026-05-08T04:11:46.644Z","avatar_url":"https://github.com/alanmenchaca.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# numpy-notes\na powerful python library for numerical computing, it provides support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays. \n\n### [hyperlinks](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/tree/main/) to view notebooks\n* [introduction to numpy](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Introduction_to_NumPy.ipynb) \n* [creating arrays](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Creating_Arrays.ipynb)\n* [indexing and slicing](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Indexing_and_Slicing.ipynb)\n* [reshaping and resizing](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Reshaping_and_Resizing.ipynb)\n* [vectorized expressions](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Vectorized_Expressions.ipynb)\n\n### numpy installation\nyou can install numpy using either of the following methods:\n```sh\n# conda\nconda install numpy\n```\n\n```sh\n# or PyPI\npip install numpy\n```\nthe source code is hosted on github: [numpy gitHub](https://github.com/numpy/numpy)\n\n**insights and summaries from the book:**\nRobert, J. (2019). Numerical Python, 2nd Edition. Chiba: Apress\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanmenchaca%2Fnumpy-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falanmenchaca%2Fnumpy-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanmenchaca%2Fnumpy-notes/lists"}