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Showing 5 notable Python books published on

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron

The second edition came out recently and immediately became a bestseller in its category. It is impressive in coverage. Classical supervised learning, unsupervised learning, deep learning (CNN, RNN, GAN), reinforcement learning - it covers everything under the sun systematically.
Published on : Oct. 15, 2019
Python version: TH
856 pages

Programming PyTorch for Deep Learning

by Ian Pointer

Deep Learning's new kid on the block is Facebook's open source PyTorch framework. If you decided to develop your Deep Learning project in PyTorch instead of Tensorflow, this timely book has your back.
Published on : Oct. 8, 2019
Python version: TH
220 pages

GANs in Action: Deep learning with Generative Adversarial Networks

by Jakub Langr

Seen the Obama DeepFake video? Are you friends posting pictures of their 60 year old self using FaceApp? Heard that computers are now able to paint novel pictures in the style of Van Gogh or create music in the style of Mozart? The technology powering these fantastic innovations is GAN (Generative Adversarial Networks). This is the first ever Python book on GANs! It will show you how to implement GANs easily using Keras. But beware: knowledge of Python, deep learning and some math is assumed.
Published on : Oct. 8, 2019
Python version: TH
240 pages

Building Android Apps in Python Using Kivy with Android Studio: With Pyjnius, Plyer, and Buildozer

by Ahmed Fawzy Mohamed Gad

Wouldn't it be cool if you could develop mobile apps in Python? Now you can - with the Kivy framework! Through in-depth examples, this book teaches you everything you need to create your first Android application in Python and publish on Google Play.
Published on : Oct. 14, 2019
Python version: TH
422 pages

Python Programming in Context

by Bradley N. Miller

This is a great book for programming beginners - recently in its third edition. Intended as a CS 101 book, it teaches Python 3.8 hands-on with a focus on applications in image processing, cryptography, astronomy, the Internet, and bioinformatics.
Published on : Oct. 15, 2019
Python version: TH
498 pages