{"id":8124266,"url":"https://github.com/dlab-berkeley/python-for-everything","last_synced_at":"2025-07-25T04:31:15.127Z","repository":{"id":10043419,"uuid":"12089625","full_name":"dlab-berkeley/python-for-everything","owner":"dlab-berkeley","description":"Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab","archived":true,"fork":false,"pushed_at":"2017-03-08T00:36:44.000Z","size":5785,"stargazers_count":70,"open_issues_count":1,"forks_count":128,"subscribers_count":31,"default_branch":"master","last_synced_at":"2024-08-11T22:33:54.760Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dlab-berkeley.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2013-08-13T18:45:34.000Z","updated_at":"2024-03-13T05:29:58.000Z","dependencies_parsed_at":"2022-09-22T04:23:15.172Z","dependency_job_id":null,"html_url":"https://github.com/dlab-berkeley/python-for-everything","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dlab-berkeley%2Fpython-for-everything","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dlab-berkeley%2Fpython-for-everything/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dlab-berkeley%2Fpython-for-everything/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dlab-berkeley%2Fpython-for-everything/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dlab-berkeley","download_url":"https://codeload.github.com/dlab-berkeley/python-for-everything/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":227518426,"owners_count":17782973,"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":[],"created_at":"2024-04-18T00:00:27.549Z","updated_at":"2024-12-01T08:30:57.567Z","avatar_url":"https://github.com/dlab-berkeley.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# Python for Everything\n\n=========================\n\nThis repository holds all of the necessary materials, code, and data for D-Lab's complete introduction to the Python Language.\n\n## If you are a student\n\nYou can download the contents of this repository with:\n\n```\ngit clone https://github.com/dlab-berkeley/python-for-everything.git\n```\n\nor, by clicking the \"Download Zip\" button and then extracting the `.zip` file.\n\nThe instructor of this workshop series will lead you through the activities for each day.\n\nFor more Python resources, visit [python.berkeley.edu](http://python.berkeley.edu/resources/).\n\n## If you are a D-Lab instructor\n\nYou'll see accumulated teaching notes and examples for each day's topics in the instructor folder. For your convenience, these are available as Jupyter notebooks, commented python files, and pdfs.\n\n\u003e Note : like Python, class days are zero-indexed\n\nFor information on contributing to this repository, see `CONTRIBUTING.md`\n\n## If you are a D-Lab facilitator\n\nThe standard Drupal workshop descriptions and facetweet postings for this workshop series are in `PUBLICITY.md`\n\n## Description\n\n* `challenges/` : pytest challenges for each day of the series\n* `data/` : data necessary for interactive coding examples\n* `etc/` : examples of cron, cron.d, and credentials files\n* `instructor/` : teaching notes\n* `scripts/`\n    * `generate_tables.py` : for generating random tabular data\n    * `regenerate_documents.sh` : for regenerating `.py` and `.pdf` files from `.ipynb`\n    * `simple.py` : sample python script used in Day 0\n    * `twitter_bot.py` : sample python script used in Day 2\n\n---\n_D-Lab == Data Intensive Social Science, For All!_\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdlab-berkeley%2Fpython-for-everything","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdlab-berkeley%2Fpython-for-everything","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdlab-berkeley%2Fpython-for-everything/lists"}