{"id":43076354,"url":"https://github.com/kjam/data-wrangling-pycon","last_synced_at":"2026-01-31T14:09:39.967Z","repository":{"id":5462033,"uuid":"39194525","full_name":"kjam/data-wrangling-pycon","owner":"kjam","description":"An Introduction to Data Wrangling with Python","archived":false,"fork":false,"pushed_at":"2022-12-07T23:36:03.000Z","size":22196,"stargazers_count":81,"open_issues_count":16,"forks_count":62,"subscribers_count":15,"default_branch":"master","last_synced_at":"2024-04-17T09:01:45.131Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kjam.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}},"created_at":"2015-07-16T12:03:02.000Z","updated_at":"2023-08-04T02:56:05.000Z","dependencies_parsed_at":"2023-01-11T16:59:53.893Z","dependency_job_id":null,"html_url":"https://github.com/kjam/data-wrangling-pycon","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kjam/data-wrangling-pycon","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjam%2Fdata-wrangling-pycon","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjam%2Fdata-wrangling-pycon/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjam%2Fdata-wrangling-pycon/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjam%2Fdata-wrangling-pycon/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kjam","download_url":"https://codeload.github.com/kjam/data-wrangling-pycon/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjam%2Fdata-wrangling-pycon/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28944795,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T13:02:32.153Z","status":"ssl_error","status_checked_at":"2026-01-31T13:00:07.528Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: 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":"2026-01-31T14:09:39.841Z","updated_at":"2026-01-31T14:09:39.959Z","avatar_url":"https://github.com/kjam.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Data Wrangling Introduction\n=======================\n\nWelcome to Data Wrangling! Here you'll find some useful scripts and data to get started with Data Wrangling with Python. \n\nTo Install requirements if you are using Python 2.7+\n-----------------------\n    $ pip install -r requirements.txt\n\nTo Install requirements if you are using Python 3.4+\n-----------------------\n    $ pip install -r py3_requirements.txt\n\nTo Install requirements using Conda Environments and default Python\n--------------------------------------------------\n    $ conda create --name conda_dw --file conda_requirements.txt\n    $ source activate conda_dw\n    $ conda install openpyxl\n\nTo Install requirements using Conda Environments and Python3\n--------------------------------------------------\n    $ conda env create -f data_wrangling_3.yml\n    $ source activate conda_dw3\n\nTo Access iPython Notebook\n----------------------\n\n[PY3 Notebook](https://class.kjamistan.com)\n\n\nQuestions?\n----------\n\nkjam on twitter / freenode\nkatharine at kjamistan dot com\n\n\nContributions\n--------------\n\nMany thanks to [Steven Van den Berghe](https://be.linkedin.com/in/svdberghe) for his help debugging conda environments and providing the ´data_wrangling_3.yml´ file.\n\nMassive Kudos to [Viacheslav Naydenov](https://github.com/vnaydionov/) for porting pdftables to Py3!\n\n\nFair Use\n----------\n\nIf you would like to use this content for your own course, please do so with attribution and without modification. If you'd like to modify this course and use it, please reach out regarding modifications made. Thank you! :)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkjam%2Fdata-wrangling-pycon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkjam%2Fdata-wrangling-pycon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkjam%2Fdata-wrangling-pycon/lists"}