Data Science At The Command Line
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cml | 3,848 |  | 2 | 8 days ago | 149 | August 25, 2023 | 78 | apache-2.0 | JavaScript | |
| ♾️ CML - Continuous Machine Learning | CI/CD for ML | ||||||||||
| Data Science At The Command Line | 3,518 | 5 months ago | 31 | other | HTML | |||||
| Data Science at the Command Line | ||||||||||
| Igel | 3,037 | 8 months ago | 34 | November 19, 2021 | 6 | mit | Python | |||
| a delightful machine learning tool that allows you to train, test, and use models without writing code | ||||||||||
| Tv | 1,947 | 2 days ago | 23 | July 04, 2023 | 17 | unlicense | Rust | |||
| 📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment. | ||||||||||
| Tsv Utils | 1,236 | 2 years ago | 46 | June 14, 2018 | 11 | bsl-1.0 | D | |||
| eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more. | ||||||||||
| Vscode Jupyter | 1,147 |  | 2 | 15 hours ago | 2 | October 03, 2022 | 527 | mit | TypeScript | |
| VS Code Jupyter extension | ||||||||||
| Mlem | 704 | 3 months ago | 131 | apache-2.0 | Python | |||||
| 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞 | ||||||||||
| Dataproofer | 681 |  | 2 | a year ago | 17 | May 26, 2021 | 58 | gpl-3.0 | JavaScript | |
| A proofreader for your data | ||||||||||
| Kaggle Cli | 679 | 70 | 6 years ago | 39 | November 06, 2017 | 21 | mit | Python | ||
| (Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool. | ||||||||||
| Urs | 604 | 6 months ago | 1 | mit | Python | |||||
| Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool. | ||||||||||
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Readme
Data Science at the Command Line
This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. The book is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You can read the book for free at https://datascienceatthecommandline.com.
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