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Analytical Skills for AI and Data Science - by Daniel Vaughan (Paperback)
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Cloud Computing with AWS - by Pravin Mishra (Paperback)
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Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)
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SQL in a Nutshell - 4th Edition by Kevin Kline & Regina O Obe & Leo S Hsu (Paperback)
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Python in Easy Steps - (In Easy Steps) 3rd Edition by Mike McGrath (Paperback)
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Data Architecture for Software Architects - by Pramod Sadalage & Premanand Chandrasekaran (Paperback)
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The Homelab Handbook - by Ricard Bejarano (Paperback)
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AI Agents with Java - by Alex Soto Bueno & Markus Eisele & Mario Fusco (Paperback)
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Murach's MySQL (4th Edition) - by Joel Murach (Paperback)
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Building MCP Servers with C# - by Gerald Versluis (Paperback)
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Generative AI Solutions with Databricks - by Alan L Dennis & Mahesh Das & Vipul Choudhary & Thomas Hart (Paperback)
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Simulation Models for Data Science - by Dan Sullivan (Paperback)
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Cryptographic Foundations - (De Gruyter Textbook) by Sanjay K Sahay & Jyotiprakash Mishra (Paperback)
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Python for Finance - 3rd Edition by Yves Hilpisch (Paperback)
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Clean Applications with Hexagonal Architecture - by Enrique Medina Montenegro (Paperback)
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Agent Design Patterns - by Peter Belcak (Paperback)
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Algorithms Every Programmer Should Know - by Aniket Wattamwar (Paperback)
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Gpu Programming with Triton - by Harshwardhan Fartale (Paperback)
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Green Computing - by Rafeal Mechlore (Paperback)
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People Analytics Explained - (HR Skills Guide) by Kinsey Li (Paperback)
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A Comparative Study of Very Large Data Bases - (Lecture Notes in Computer Science) by E Jr Hill (Paperback)
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Thing Explainer - Annotated by Randall Munroe (Hardcover)
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Internet of Things Using Single Board Computers - (Maker Innovations) by G R Kanagachidambaresan (Paperback)
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Macbook Neo for Dummies - by Mark L Chambers (Paperback)
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