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juliasilge.com
| | johanneslederer.com
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| | (Find information about my book on high-dimensional statistics here.) Summary This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from beginning to end for a profound yet practical introduction to statistical learning. The book consists of...
| | accessibleai.dev
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| | In this article I'll introduce you to Anaconda and show you how get a standardized Python data science environment up and running on your machine in minutes.
| | grigory.github.io
8.8 parsecs away

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| | Discussion of the class on Foundations of Data Science that I am teaching at IU this Fall.
| | www.smashingmagazine.com
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| At its heart, "Inclusive Components" is a detailed, practical handbook for building fully accessible interfaces. The book examines common interface patterns - accordions, tables, tabs, toggles and everything in-between - through the lens of inclusion. The result is a dozen of fully accessible and robust patterns we author, plug in, and use daily. Jump to table of contents. The book features 12 common UI components, broken down in detail, one by one. The in-depth explorations are meticulously illustrated and code examples culminate as bulletproof code snippets, applicable to your work right away. Plus a strategy for building accessible interfaces for your own components - all in one book. Download a free PDF excerpt (1.1 MB). You'll learn how to build: access...