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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Mike Cohen
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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research
799
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Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses, Angelica Lo Duca, Tim
599
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Learning Go: An Idiomatic Approach to Real-World Go Programming 2nd Edition, Jon Bodner
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Scaling Python with Ray: Adventures in Cloud and Serverless Patterns, Holden Karau, Boris Lublinsky
649
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Overcoming IT Complexity: Simplify Operations, Enable Innovation, and Cultivate Successful Cloud Outcomes, Lee
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97 Things About Ethics Everyone in Data Science Should Know: Collective Wisdom from the Experts, Bill Franks
699
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Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud, Sev Leonard
649
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Flutter and Dart Cookbook: Developing Full-Stack Applications for the Cloud, Richard Rose
699
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Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects 3rd Edition, Michael Margolis, Brian
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Collaborative Product Design: Help Any Team Build a Better Experience, Austin Govella
799
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Data Science: The Hard Parts: Techniques for Excelling at Data Science, Daniel Vaughan
618
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The Art of Agile Development 2nd Edition, James Shore, Shane Warden
899
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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python, Sofien
649
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Blockchain Tethered AI: Trackable, Traceable Artificial Intelligence and Machine Learning, Karen Kilroy, Lynn
699
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The Engineering Executive's Primer: Impactful Technical Leadership, Will Larson
676
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5
Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot, Mark Needham
640
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5
Training Data for Machine Learning: Human Supervision from Annotation to Data Science, Anthony Sarkis
699
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Mastering Salesforce Reports and Dashboards: Drive Business Decisions with Your CRM Data, David Carnes
699
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The Software Developer's Career Handbook: A Guide to Navigating the Unpredictable, Michael Lopp
699
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97 Things Every UX Practitioner Should Know: Collective Wisdom from the Experts, Daniel Berlin
649
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Learning Airtable: Building Database-Driven Applications with No-Code, Elliott Adams
699
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Building a Cyber Risk Management Program: Evolving Security for the Digital Age, Brian Allen, Brandon Bapst,
649
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A Functional Approach to Java: Augmenting Object-Oriented Java Code with Functional Principles, Ben Weidig
799
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Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More,
649
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97 Things Every Scrum Practitioner Should Know: Collective Wisdom from the Experts, Gunther Verheyen
649
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The Ai Organization: Learn from Real Companies and Microsofts Journey How to Redefine Your Organization With
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Data Curious: Applying Agile Analytics for Better Business Decisions, Carl Allchin, Sarah Nabelsi
599
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97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts, Camille Fournier
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97 Things Every Information Security Professional Should Know: Collective Wisdom from the Experts, Christina
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