Електронні книги

Mastering PostgreSQL 11. Expert techniques to build scalable, reliable, and fault-tolerant database applications - Second Edition

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Mastering PostgreSQL 12. Advanced techniques to build and administer scalable and reliable PostgreSQL database applications - Third Edition

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Mastering PostgreSQL 13. Build, administer, and maintain database applications efficiently with PostgreSQL 13 - Fourth Edition

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Mastering PostgreSQL 15. Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications - Fifth Edition

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Mastering PostgreSQL 17. Elevate your database skills with advanced deployment, optimization, and security strategies - Sixth Edition

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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators

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Mastering PowerCLI. Master PowerCLI to automate all aspects of VMware environments

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Mastering PowerShell Scripting. Automate and manage your environment using PowerShell 7.1 - Fourth Edition

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Mastering PowerShell Scripting. Automate repetitive tasks and simplify complex administrative tasks using PowerShell - Fifth Edition

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Mastering Predictive Analytics with Python. Click here to enter text

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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition

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Mastering Predictive Analytics with R. Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

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Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python

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Mastering Prezi for Business Presentations. Engage your audience visually with stunning Prezi presentation designs and be the envy of your colleagues who use PowerPoint with this book and

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Mastering Prezi for Business Presentations. Engage your audience visually with stunning Prezi presentation designs and be the envy of your colleagues who use PowerPoint with this book and

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Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

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