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Showing 3 outstanding Python books published on
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

by Sebastian Raschka

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.
Published on : Feb. 25, 2022
Python version: TH
770 pages

Introduction to Digital Music with Python Programming

by Michael S. Horn

With the help of online, interactive examples on Digital Audio Workstation (DAW) platforms called TunePad and EarSketch, this book covers the fundamentals of rhythm, chord structure and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes.
Published on : Feb. 23, 2022
Python version: TH
278 pages

Portable Python Projects: Run Your Home on a Raspberry Pi

by Mike Riley

Get to know the latest Raspberry Pi hardware, and create awesome automation solutions for home or work that don't require an electronics degree, cumbersome add-ons, or expensive third-party subscription services. Create easy to run Python scripts on your own that make your Pi do things that would have required a team of automation experts to build only a few years ago.
Published on : Feb. 22, 2022
Python version: TH
182 pages