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Linux справочник

Linux справочник — Страница 47

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Requirements Writing for System Engineering, George Koelsch

Requirements Writing for System Engineering, George Koelsch

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python,

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python,

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Expert Python Programming: Master Python by learning the best coding practices and advanced programming

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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines, Barr Moses, Lior

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The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change, Tanya Reilly

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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling 3rd Edition, Ralph Kimball, Margy

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Efficient Linux at the Command Line: Boost Your Command-Line Skills, Daniel Barrett

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Mastering High Performance with Kotlin: Overcome performance difficulties in Kotlin with a range of exciting

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Automated Machine Learning in Action, Qingquan Song, Haifeng Jin, Xia Hu

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Modernizing Enterprise Java: A Concise Cloud Native Guide for Developers, Markus Eisele, Natale Vinto

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Foundations of Scalable Systems: Designing Distributed Architectures, Ian Gorton

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Cloud Native Patterns: Designing change-tolerant software, Cornelia Davis

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Version Control with Git: Powerful Tools and Techniques for Collaborative Software Development 3rd Edition,

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Data-Oriented Programming: Reduce software complexity, Yehonathan Sharvit

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The Well-Grounded Java Developer, 2nd Edition, Benjamin Evans, Jason Clark, Martijn Verburg

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Learning Kali Linux: Security Testing, Penetration Testing, and Ethical Hacking, Ric Messier

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Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your

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Rust for Rustaceans: Idiomatic Programming for Experienced Developers, Jon Gjengset

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PyTorch Pocket Reference: Building and Deploying Deep Learning Models, Joe Papa

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Kubernetes Native Microservices with Quarkus and MicroProfile, John Clingan, Ken Finnigan

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Spring Security in Action, Laurentiu Spilca

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Impractical Python Projects: Playful Programming Activities to Make You Smarte, Lee

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The Rust Programming Language (Covers Rust 2018), Steve Klabnik, Carol Nichols

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Data Science (The MIT Press Essential Knowledge series), John D. Kelleher, Brendan Tierney

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Continuous Delivery with Docker and Jenkins: Create secure applications by building complete CI/CD pipelines,

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Beginning Power Apps: The Non-Developer's Guide to Building Business Applications 2nd ed. Edition by Tim

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Mastering Lumion 3d, Ciro Cardoso

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Pro Database Migration to Azure: Data Modernization for the Enterprise, Kevin Kline

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Chip Huyen

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