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Java 8 in action
Java 8 in action — Сторінка 5
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Implementing MLOps in the Enterprise: A Production-First Approach, Yaron Haviv, Noah Gift
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Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud 2nd Edition, Lee
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PHP Cookbook: Modern Code Solutions for Professional Developers, Eric Mann
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97 Things Every Java Programmer Should Know: Collective Wisdom from the Experts, Kevlin Henney, Trisha Gee
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Delta Lake: Up and Running; Modern Data Lakehouse Architectures With Delta Lake, Bennie Haelen, Dan Davis
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Web Development with Node and Express: Leveraging the JavaScript Stack 2nd Edition, Ethan Brown
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Tidy First?: A Personal Exercise in Empirical Software Design, Kent Beck, Larry Constantine
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The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation, Ole
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Cloud FinOps: Collaborative, Real-Time Cloud Financial Management, J.R. Storment, Mike Fuller
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Kubernetes Cookbook: Building Cloud Native Applications 2nd Edition, Sameer Naik, Sébastien Goasguen, Jonathan
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Practical Weak Supervision: Doing More With Less Data, Wee Hyong Tok, Amit Bahree, Senja Filipi, more
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow, Hannes Hapke, Catherine
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Mike Cohen
640
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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research
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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
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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
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Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud, Sev Leonard
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Flutter and Dart Cookbook: Developing Full-Stack Applications for the Cloud, Richard Rose
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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
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Data Science: The Hard Parts: Techniques for Excelling at Data Science, Daniel Vaughan
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The Art of Agile Development 2nd Edition, James Shore, Shane Warden
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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python, Sofien
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Blockchain Tethered AI: Trackable, Traceable Artificial Intelligence and Machine Learning, Karen Kilroy, Lynn
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The Engineering Executive's Primer: Impactful Technical Leadership, Will Larson
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Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot, Mark Needham
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Training Data for Machine Learning: Human Supervision from Annotation to Data Science, Anthony Sarkis
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