{"product_id":"9781491947807","title":"Data Science at the Command Line: Facing the Future with Time-Tested Tools","description":"\u003cp\u003eThis hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.\u003c\/p\u003e\u003cp\u003eTo get you started—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.\u003c\/p\u003e\u003cp\u003eDiscover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eObtain data from websites, APIs, databases, and spreadsheets\u003c\/li\u003e\n\u003cli\u003ePerform scrub operations on plain text, CSV, HTML\/XML, and JSON\u003c\/li\u003e\n\u003cli\u003eExplore data, compute descriptive statistics, and create visualizations\u003c\/li\u003e\n\u003cli\u003eManage your data science workflow using Drake\u003c\/li\u003e\n\u003cli\u003eCreate reusable tools from one-liners and existing Python or R code\u003c\/li\u003e\n\u003cli\u003eParallelize and distribute data-intensive pipelines using GNU Parallel\u003c\/li\u003e\n\u003cli\u003eModel data with dimensionality reduction, clustering, regression, and classification algorithms\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media, Incorporated","offers":[{"title":"Default Title","offer_id":47126855680240,"sku":"9781491947807","price":33.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781491947807_p0.jpg?v=1763662109","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781491947807","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}