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The basics

The basics — Страница 47

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Machine Learning Pocket Reference: Working with Structured Data in Python, Matt Harrison

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Programming Quantum Computers: Essential Algorithms and Code Samples, Eric Johnston, Nic Harrigan, Mercedes

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Python for Algorithmic Trading: From Idea to Cloud Deployment, Yves Hilpisch

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Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data, Greg Foss, Paul Modderman

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Google Anthos in Action: Manage hybrid and multi-cloud Kubernetes clusters, Antonio Gulli et al.

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Regular Expression Puzzles and AI Coding Assistants: 24 puzzles solved by the author, with and without

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GraphQL in Action, Samer Buna

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Svelte and Sapper in Action, Mark Volkmann

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Elm in Action, Richard Feldman

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Classic Computer Science Problems in Python, David Kopec

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Blockchain in Action, Bina Ramamurthy

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Learn Concurrent Programming with Go, James Cutajar

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Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI, Robert (Munro)

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Tiny Python Projects: 21 small fun projects for Python beginners designed to build programming skill, teach

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Self-Sovereign Identity: Decentralized digital identity and verifiable credentials, Alex Preukschat, Drummond

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Deep Learning with JavaScript: Neural networks in TensorFlow.js, Shanqing Cai, Stan Bileschi, Eric Nielsen,

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Azure Infrastructure as Code: With ARM templates and Bicep, Henry Been, Erwin Staal, Eduard Keiholz, more

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Code like a Pro in C#, Jort Rodenburg

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