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Obtain, Scrub, Explore, and Model Data with Unix Power Tools Welcome to the website of the second edition of Data Science at the Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. This website is free to use. The contents is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. You can order a physical copy at Amazon. If y
Did you know that there's a Bash kernel for IPython Notebook? It even displays inline images. Could it ever be a convenient environment for doing data science? Would it be worthwhile to publish my book Data Science at the Command Line as a collection of notebooks?
Data scientists love to create interesting models and exciting data visualisations. However, before they get to that point, usually much effort goes into obtaining, scrubbing, and exploring the required data. I argue that the Unix command-line, although invented decades ago, remains a powerful environment for processing data. It provides a read-eval-print loop (REPL) that is often much more conven
My Ph.D., which I completed earlier this year, was about outlier selection and one-class classification. During this time I learned about quite a few machine learning algorithms; especially about outlier-selection algorithms and one-class classifiers. With some help of Ferenc Huszár and Laurens van der Maaten, I also came up with a new outlier-selection algorithm called Stochastic Outlier Selectio
Blog article by Jeroen Janssens. Sep 19, 2013. 20 min read. Data science is OSEMN (pronounced as awesome). That is, it involves Obtaining, Scrubbing, Exploring, Modelling, and iNterpreting data. As a data scientist, I spend quite a bit of time on the command-line, especially when there’s data to be obtained, scrubbed, or explored. And I’m not alone in this. Recently, Greg Reda discussed how the cl
Update (6-9-2013) This code is now also available as the “jump” plugin in oh-my-zsh. Update (18-8-2013): Thanks to the many useful suggestions in the discussion on Hacker News, I have added (1) quotes to the code, (2) a section about tab completion, and (3) a note for macOS users. Like many others, I spend most of my day behind a computer. In order make the most of it (and to keep my body from com
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