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Thinking with Data - by Max Shron (Paperback)

Data Contracts - by Chad Sanderson & Mark Freeman & B E Schmidt (Paperback)

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

Observability Engineering - by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

Microsoft Power Bi Data Analyst Associate Study Guide - by Paul Turley (Paperback)

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

The Rules of Programming - by Chris Zimmerman (Paperback)

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

Security Chaos Engineering - by Kelly Shortridge & Aaron Rinehart (Paperback)

Arduino Cookbook - 3rd Edition by Michael Margolis & Brian Jepson & Nicholas Robert Weldin (Paperback)

Production Kubernetes - by Josh Rosso & Rich Lander & Alex Brand & John Harris (Paperback)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

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

Delta Lake: The Definitive Guide - by Denny Lee & Tristen Wentling & Scott Haines & Prashanth Babu (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)

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

Kafka: The Definitive Guide - 2nd Edition by Gwen Shapira & Todd Palino & Rajini Sivaram & Krit Petty (Paperback)

Practical Tableau - by Ryan Sleeper (Paperback)

Evals for AI Engineers - by Shreya Shankar & Hamel Husain (Paperback)

Software Engineering at Google - by Titus Winters & Tom Manshreck & Hyrum Wright (Paperback)