{"id":18322175,"url":"https://github.com/dataideaorg/numpy-100-puzzles-challenge","last_synced_at":"2025-10-12T14:36:42.959Z","repository":{"id":233556572,"uuid":"787400271","full_name":"dataideaorg/numpy-100-puzzles-challenge","owner":"dataideaorg","description":null,"archived":false,"fork":false,"pushed_at":"2024-04-16T14:31:21.000Z","size":78,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"major","last_synced_at":"2025-04-09T14:42:25.533Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dataideaorg.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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}},"created_at":"2024-04-16T13:00:54.000Z","updated_at":"2024-04-16T14:25:31.000Z","dependencies_parsed_at":"2024-04-16T18:14:03.504Z","dependency_job_id":"1e5adc0e-7093-4ef4-812f-2b19d10091dc","html_url":"https://github.com/dataideaorg/numpy-100-puzzles-challenge","commit_stats":null,"previous_names":["dataidea/numpy-100-puzzles-challenge","dataideaorg/numpy-100-puzzles-challenge"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dataideaorg/numpy-100-puzzles-challenge","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fnumpy-100-puzzles-challenge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fnumpy-100-puzzles-challenge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fnumpy-100-puzzles-challenge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fnumpy-100-puzzles-challenge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dataideaorg","download_url":"https://codeload.github.com/dataideaorg/numpy-100-puzzles-challenge/tar.gz/refs/heads/major","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fnumpy-100-puzzles-challenge/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279011603,"owners_count":26084964,"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":"2025-10-12T02:00:06.719Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":[],"created_at":"2024-11-05T18:23:38.050Z","updated_at":"2025-10-12T14:36:42.930Z","avatar_url":"https://github.com/dataideaorg.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Welcome to the DATAIDEA 100 Pandas Puzzles Challenge!\n\n\u003cimg src=\"assets/numpy.jpg\" style=\"width: 100%;\"/\u003e\n\n## Introduction\n\nThis is a collection of exercises that have been collected in the numpy mailing list, on stack overflow\nand in the numpy documentation. The goal of this collection is to offer a quick reference for both old\nand new users but also to provide a set of exercises for those who teach.\n\n\nIf you find an error or think you've a better way to solve some of them, feel\nfree to open an issue.\n\nNote: markdown and ipython notebook are created programmatically from the source data in `source/exercises.ktx`.\nTo modify the content of these files, please change the text in the source and run the `generators.py` module with a python\ninterpreter with the libraries under `requirements.txt` installed.\n\nThe keyed text format (`ktx`) is a minimal human readable key-values to store text (markdown or others) indexed by keys. \n\nThis work is licensed under the MIT license.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataideaorg%2Fnumpy-100-puzzles-challenge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdataideaorg%2Fnumpy-100-puzzles-challenge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataideaorg%2Fnumpy-100-puzzles-challenge/lists"}