python object oriented programming books

The Linux DevOps Handbook - by Damian Wojslaw & Grzegorz Adamowicz (Paperback)

Linux Essentials, Second Edition - 2nd Edition by Christine Bresnahan & Richard Blum (Paperback)

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)

Data Mining for Business Analytics - by Galit Shmueli & Peter C Bruce & Peter Gedeck & Nitin R Patel (Hardcover)

Deep Learning with R, Second Edition - 2nd Edition by Francois Chollet & Tomasz Kalinowski & J J Allaire (Paperback)

Python Programming for Beginners - by Patricia Foster (Paperback)

C Programming for Dummies - 2nd Edition by Dan Gookin (Paperback)

Machine Learning and Deep Learning With Python - by James Chen (Paperback)

Javascript: The Good Parts - by Douglas Crockford (Paperback)

JavaScript Patterns - by Stoyan Stefanov (Paperback)

Python for Data Analysis - 3rd Edition by Wes McKinney (Paperback)

Building AI Intensive Python Applications - by Rachelle Palmer & Ben Perlmutter & Ashwin Gangadhar (Paperback)

Deep Learning with Keras - by Antonio Gulli & Sujit Pal (Paperback)

Linux in Easy Steps - (In Easy Steps) 7th Edition by Mike McGrath (Paperback)

Creative Coding in Python - by Sheena Vaidyanathan (Paperback)

Building Quantum Software in Python - by Constantin Gonciulea & Charlee Stefanski (Paperback)

Scratch Programming in Easy Steps - (In Easy Steps) 2nd Edition by Sean McManus (Paperback)

Job Ready Python - by Haythem Balti & Kimberly A Weiss (Paperback)

FastAPI Cookbook - by Giunio de Luca (Paperback)

Operating Systems in Depth - by Thomas W Doeppner (Hardcover)