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Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)

Cost-Effective Data Pipelines - by Sev Leonard (Paperback)

Augmented Software Design - by Kent Beck (Paperback)

The Effective Software Engineer - by Addy Osmani (Paperback)

Continuous Deployment - by Valentina Servile (Paperback)

How to Make Things Faster - by Cary Millsap (Paperback)

Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

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

Azure Data Fundamentals - by Michael John Pena (Paperback)

Building Data Integration Solutions - by Jay Borthen (Paperback)

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

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

Advanced SQL - by Rui Machado & Helder Russa & Pedro Esmeriz (Paperback)

Analytical Skills for AI and Data Science - by Daniel Vaughan (Paperback)

Colorwise - by Kate Strachnyi (Paperback)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

The Product-Minded Engineer - by Drew Hoskins (Paperback)

Scaling AI Adoption in Engineering - by Peter Bell (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

The Multiplier Mindset - by Gregor Ojstersek (Paperback)

Gitops Cookbook - by Natale Vinto & Alex Soto Bueno (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)