{"id":21357002,"url":"https://github.com/gjbex/python-for-data-science","last_synced_at":"2025-07-13T00:32:35.211Z","repository":{"id":44770155,"uuid":"221490990","full_name":"gjbex/Python-for-data-science","owner":"gjbex","description":"Repository for participants of the \"Python for data science\" training","archived":false,"fork":false,"pushed_at":"2024-11-18T09:55:27.000Z","size":29874,"stargazers_count":17,"open_issues_count":0,"forks_count":19,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-18T10:59:57.575Z","etag":null,"topics":["bokeh","dashboards","data-science","data-visualization","geopandas","holoviews","information-visualization","pandas","pandas-tutorial","panel","python","python-training","seaborn","streamlit","training","visualization"],"latest_commit_sha":null,"homepage":"https://gjbex.github.io/Python-for-data-science/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gjbex.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2019-11-13T15:29:54.000Z","updated_at":"2024-09-11T08:52:46.000Z","dependencies_parsed_at":"2024-11-19T04:05:13.907Z","dependency_job_id":null,"html_url":"https://github.com/gjbex/Python-for-data-science","commit_stats":null,"previous_names":[],"tags_count":14,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FPython-for-data-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FPython-for-data-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FPython-for-data-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FPython-for-data-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gjbex","download_url":"https://codeload.github.com/gjbex/Python-for-data-science/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225844825,"owners_count":17533160,"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":["bokeh","dashboards","data-science","data-visualization","geopandas","holoviews","information-visualization","pandas","pandas-tutorial","panel","python","python-training","seaborn","streamlit","training","visualization"],"created_at":"2024-11-22T04:42:49.930Z","updated_at":"2024-11-22T04:42:50.562Z","avatar_url":"https://github.com/gjbex.png","language":"Jupyter Notebook","readme":"# Python for data science\n\nGitHub repository for participants of the \"Python for data science\" training.\nFor information on the training, see the website\n[https://gjbex.github.io/Python-for-data-science/](https://gjbex.github.io/Python-for-data-science/)\n\n\n## What is it?\n\n1. [`python_for_data_science.pptx`](python_for_data_science.pptx): PowerPoint\n   presentation used for the training.\n1. [`hands-on`](hands-on): Jupyter notebooks for hands-on sessions.\n1. [`source-code`](source-code): sample code written to develop the slides and\n   illustrate concepts.\n1. [`environment.yml`](environment.yml): conda environment file intended to be\n   cross-platform.\n1. [`python_for_data_science_linux64_conda_specs.txt`](python_for_data_science_linux64_conda_specs.txt):\n   conda environment specification file specific for 64-bit Linux to precisely\n   reproduce the environment on which the code was developed.\n1. [License](LICENSE): license information for the material in this repository.\n1. [Contributing](CONTRIBUTING.md): information on how to contribute to this\n   repository.\n1. docs: directory containing the website for this repository.\n1. [Code of conduct](CODE_OF_CONDUCT.md): when participating in this training\n   you accept to abide by the code of conduct.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjbex%2Fpython-for-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgjbex%2Fpython-for-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjbex%2Fpython-for-data-science/lists"}