{"id":13428451,"url":"https://github.com/brandon-rhodes/pycon-pandas-tutorial","last_synced_at":"2025-05-14T12:11:00.555Z","repository":{"id":28425163,"uuid":"31939997","full_name":"brandon-rhodes/pycon-pandas-tutorial","owner":"brandon-rhodes","description":"PyCon 2015 Pandas tutorial materials","archived":false,"fork":false,"pushed_at":"2025-01-28T21:57:15.000Z","size":1396,"stargazers_count":1052,"open_issues_count":3,"forks_count":696,"subscribers_count":64,"default_branch":"master","last_synced_at":"2025-04-13T06:15:28.488Z","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":"FMRo/FM17-ro","license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/brandon-rhodes.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":"FUNDING.yml","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,"publiccode":null,"codemeta":null},"funding":{"github":"brandon-rhodes"}},"created_at":"2015-03-10T05:24:41.000Z","updated_at":"2025-04-08T22:11:24.000Z","dependencies_parsed_at":"2024-01-16T10:03:55.212Z","dependency_job_id":"a56865ed-fa36-4992-a15e-b77b28a15859","html_url":"https://github.com/brandon-rhodes/pycon-pandas-tutorial","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandon-rhodes%2Fpycon-pandas-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandon-rhodes%2Fpycon-pandas-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandon-rhodes%2Fpycon-pandas-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandon-rhodes%2Fpycon-pandas-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brandon-rhodes","download_url":"https://codeload.github.com/brandon-rhodes/pycon-pandas-tutorial/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254140760,"owners_count":22021219,"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":"2024-07-31T01:00:57.554Z","updated_at":"2025-05-14T12:11:00.525Z","avatar_url":"https://github.com/brandon-rhodes.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/brandon-rhodes"],"categories":["(1)  :dart: apache-arrow resources","Jupyter Notebook","Jupyter Notebook (27)","(1)  :panda_face: pandas resources"],"sub_categories":["(1.3) :mortar_board:Tutorials","(1.3) :mortar_board: Tutorials"],"readme":"\n# Welcome to Brandon’s Pandas Tutorial\n\nThe first instance of this tutorial was delivered at PyCon 2015 in\nMontréal, but I hope that many other people will be able to benefit from\nit over the next few years — both on occasions on which I myself get to\ndeliver it, and also when other instructors are able to do so.\n\nIf you want to follow along with the tutorial at home, here is the\nYouTube recording of the 3-hour tutorial at PyCon itself:\n\n[![Watch the video tutorial on YouTube](youtube.png)](http://www.youtube.com/watch?v=5JnMutdy6Fw \"Pandas From The Ground Up - PyCon 2015\")\n\nhttps://www.youtube.com/watch?v=5JnMutdy6Fw\n\nTo make it useful to as many people as possible, I hereby release it\nunder the MIT license (see the accompanying `LICENSE.txt` file) and I\nhave tried to make sure that this repository contains all of the scripts\nneeded to download and set up the data set that we used.\n\n## Quick Start\n\nIf you have both `conda` and `git` on your system (otherwise, read the\nnext section for more detailed instructions):\n\n    $ conda install --yes jupyter matplotlib pandas\n    $ git clone https://github.com/brandon-rhodes/pycon-pandas-tutorial.git\n    $ cd pycon-pandas-tutorial\n    $ build/BUILD.sh\n    $ jupyter notebook\n\n## Detailed Instructions\n\nYou will need Pandas, the IPython Notebook, and Matplotlib installed\nbefore you can successfully run the tutorial notebooks.  The [Anaconda\nDistribution](https://www.anaconda.com/download/) is a great way to get up\nand running quickly without having to install them each separately —\nrunning the `conda` command shown above will install all three.\n\nNote that having `git` is not necessary for getting the materials.\nSimply click the “Download ZIP” button over on the right-hand side of\nthis repository’s front page at the following link, and its files will\nbe delivered to you as a ZIP archive:\n\nhttps://github.com/brandon-rhodes/pycon-pandas-tutorial\n\nOnce you have unpacked the ZIP file, download the following four\n[IMDB](https://www.imdb.com/) data files and place them in the\ntutorial’s `build` directory:\n\n* ftp://ftp.fu-berlin.de/misc/movies/database/frozendata/actors.list.gz\n* ftp://ftp.fu-berlin.de/misc/movies/database/frozendata/actresses.list.gz\n* ftp://ftp.fu-berlin.de/misc/movies/database/frozendata/genres.list.gz\n* ftp://ftp.fu-berlin.de/misc/movies/database/frozendata/release-dates.list.gz\n\nIf the above links don’t work for you, try these alternate sources of the same files:\n\n* ftp://ftp.funet.fi/pub/mirrors/ftp.imdb.com/pub/frozendata/actors.list.gz\n* ftp://ftp.funet.fi/pub/mirrors/ftp.imdb.com/pub/frozendata/actresses.list.gz\n* ftp://ftp.funet.fi/pub/mirrors/ftp.imdb.com/pub/frozendata/genres.list.gz\n* ftp://ftp.funet.fi/pub/mirrors/ftp.imdb.com/pub/frozendata/release-dates.list.gz\n\nTo convert these into the CSV files that the tutorial needs, run the\n`BUILD.py` script with either Python 2 or Python 3.  It will create the\nthree CSV files in the `data` directory that you need to run all of the\ntutorial examples.  It should take about 5 minutes to run on a fast\nmodern machine:\n\n    $ python build/BUILD.py\n\nYou can then start up the IPython Notebook and start looking at the\nnotebooks:\n\n    $ ipython notebook\n\nI hope that the recording and the exercises in this repository prove\nuseful if you are interested in learning more about Python and its data\nanalysis capabilities!\n\n— [Brandon Rhodes](http://rhodesmill.org/brandon/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrandon-rhodes%2Fpycon-pandas-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrandon-rhodes%2Fpycon-pandas-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrandon-rhodes%2Fpycon-pandas-tutorial/lists"}