programming kids computers technology books

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Kubernetes Best Practices - 2nd Edition by Brendan Burns & Eddie Villalba & Dave Strebel & Lachlan Evenson (Paperback)

Slide: Ology - by Nancy Duarte (Paperback)

Hackers & Painters - by Paul Graham (Paperback)

Engineering Leadership: The Hard Parts - by Juan Pablo Buriticá & James Turnbull (Paperback)

Fundamentals of Data Observability - by Andy Petrella (Paperback)

Cassandra: The Definitive Guide, (Revised) Third Edition - 3rd Edition by Jeff Carpenter & Eben Hewitt (Paperback)

Applied AI for Enterprise Java Development - by Alex Soto Bueno & Markus Eisele & Natale Vinto (Paperback)

Terraform at Scale - by Robert Glenn (Paperback)

Modern Concurrency in Java - by A N M Bazlur Rahman (Paperback)

Developing Enterprise IOS Applications - by James Turner (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

Kubernetes Security and Observability - by Brendan Creane & Amit Gupta (Paperback)

Artificial Intelligence with Microsoft Power Bi - by Jen Stirrup & Thomas J Weinandy (Paperback)

Learning Ransomware Response & Recovery - by W Curtis Preston & Michael Saylor (Paperback)

Advanced Snowflake - by Muhammad Fasih Ullah (Paperback)

Neo4j: The Definitive Guide - by Luanne Misquitta & Christophe Willemsen (Paperback)

Bash Idioms - by Carl Albing & Jp Vossen (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Ai-Ready Data Blueprints - by Navnit Shukla & Kien Pham & Srikanth Sopirala & Harsha Tadiparthi (Paperback)

Pytorch Pocket Reference - by Joe Papa (Paperback)

Exist - by Erik Siegel & Adam Retter (Paperback)

Machine Learning and Security - by Clarence Chio & David Freeman (Paperback)