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Murach's Python for Data Science (2nd Edition) - by Scott McCoy (Hardcover)

Structural Dynamics in Engineering Design - by Nuno M M Maia & Dario Di Maio & Alex Carrella (Hardcover)

Cracking the Data Science Interview - by Leondra R Gonzalez & Aaren Stubberfield (Paperback)

Digital Communications with Emphasis on Data Modems - by Richard W Middlestead (Hardcover)

Dynamic Deformation, Damage and Fracture in Composite Materials and Structures - (Woodhead Publishing Composites Science and Engineering) (Hardcover)

Data Engineering for Beginners - (Tech Today) by Chisom Nwokwu (Paperback)

Data Science for Dummies - 3rd Edition by Lillian Pierson (Paperback)

Mastering the Data Paradox - by Nitin Seth (Hardcover)

Interactive and Dynamic Graphics for Data Analysis - (Use R!) by Dianne Cook & Deborah F Swayne (Paperback)

Knowledge Discovery and Data Mining - (Computing and Networks) by M a Bramer (Hardcover)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Fundamentals of Structural Dynamics - by Zhihui Zhou & Ying Wen & Chenzhi Cai & Qingyuan Zeng (Paperback)

Concept Data Analysis - by Claudio Carpineto & Giovanni Romano (Hardcover)

Rigid Body Dynamics Algorithms - by Roy Featherstone (Hardcover)

The Ai-Driven Data Team - by Nicholas Kelly

Business Data Communications and Networking - 14th Edition by Jerry Fitzgerald & Alan Dennis & Alexandra Durcikova (Paperback)

Business Intelligence and Data Analysis in the Age of AI - (MLI Generative AI) by Arshad Khan (Paperback)

A Mathematical Introduction to Data Science with Python - by Yi Sun & Rod Adams (Paperback)

Data Warehouse Quality - by Larry P English (Paperback)

What Algorithms Want - by Ed Finn (Paperback)

Optimization Algorithms - by Alaa Khamis (Paperback)

We Are Data - by John Cheney-Lippold (Paperback)

Azure Data and AI Architect Handbook - by Olivier Mertens & Breght Van Baelen (Paperback)

Optimizing Sales and Marketing Data - by Susan Walsh