{"id":21414317,"url":"https://github.com/brickfrog/jupytercomp","last_synced_at":"2026-05-07T21:36:57.294Z","repository":{"id":199619984,"uuid":"441778683","full_name":"brickfrog/JupyterComp","owner":"brickfrog","description":"Python and Julia programs, a compilation of notebooks for various analyses","archived":false,"fork":false,"pushed_at":"2022-03-06T22:23:41.000Z","size":428,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-14T22:52:46.317Z","etag":null,"topics":["data-science","datascience","julia","jupyter-notebook","jupyter-notebooks","python"],"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/brickfrog.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,"governance":null}},"created_at":"2021-12-26T00:00:34.000Z","updated_at":"2024-02-01T03:59:00.000Z","dependencies_parsed_at":"2023-10-11T09:14:16.837Z","dependency_job_id":null,"html_url":"https://github.com/brickfrog/JupyterComp","commit_stats":null,"previous_names":["brickfrog/jupytercomp"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brickfrog%2FJupyterComp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brickfrog%2FJupyterComp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brickfrog%2FJupyterComp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brickfrog%2FJupyterComp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brickfrog","download_url":"https://codeload.github.com/brickfrog/JupyterComp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243911193,"owners_count":20367642,"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":["data-science","datascience","julia","jupyter-notebook","jupyter-notebooks","python"],"created_at":"2024-11-22T18:28:36.644Z","updated_at":"2026-05-07T21:36:57.248Z","avatar_url":"https://github.com/brickfrog.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Jupyter Compilation\n\nCompilation of notebooks and things as to not clutter up with multiple repos, inspired by: https://github.com/norvig/pytudes. Less of a focus on particular programming skills, more of a compilaton of analyses and such.\n\n# Index of Jupyter Notebooks\n\nFor each notebook you can:\n\u003c!--\n- Click on [c](https://colab.research.google.com) to **run** the notebook on Colab\n- Click on [d](https://deepnote.com) to **run** the notebook on DeepNote\n- Click on [m](https://mybinder.org) to **run** the notebook on MyBinder\n--\u003e\n- Click on [n](https://nbviewer.jupyter.org/) to **view** the notebook on NBViewer\n- Click on the title to **view** the notebook on github.\n- Hover over the title to **view** a description.\n\n---\n|External|Year|Language|Showcasing|Title|\n|---|---|---|---|---|\n|[n](https://nbviewer.jupyter.org/github/brickfrog/JupyterComp/blob/master/ipynb/analysis_and_tips_julia.ipynb) | 2021 | Julia | [MLJ](https://github.com/alan-turing-institute/MLJ.jl), [ScikitLearn](https://github.com/cstjean/ScikitLearn.jl) | \u003cb\u003e\u003ca href=\"ipynb/analysis_and_tips_julia.ipynb\" title=\"A conversion from Python to Julia of the (old) analysis tips and tricks notebook for Numerai\"\u003eNumerai Tips and Tricks (Old)\u003c/a\u003e\u003c/b\u003e |\n|[n](https://nbviewer.jupyter.org/github/brickfrog/JupyterComp/blob/master/ipynb/supercustomer_propensity.ipynb) | 2022 | Python | [Featuretools](https://github.com/alteryx/featuretools), [Compose](https://github.com/alteryx/compose), [PyCaret](https://github.com/pycaret/pycaret) |\u003cb\u003e\u003ca href=\"ipynb/supercustomer_propensity.ipynb\" title=\"Predicting 'super customers' with ComposeML, Featuretools, and Pycaret\"\u003eSuper Customer Propensity Modeling\u003c/a\u003e\u003c/b\u003e |","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrickfrog%2Fjupytercomp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrickfrog%2Fjupytercomp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrickfrog%2Fjupytercomp/lists"}