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This Week’s books in Programming
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Here are this week’s new releases for the category ‘Programming’.
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★ Our Staff Pick ★ Getting Started with FPGAs By Russell Merrick Publisher: No Starch Press |
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Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) By Kevin P. Murphy Publisher: The MIT Press |
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Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) By Kevin P. Murphy Publisher: The MIT Press |
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Optimizing Microsoft Azure Workloads: Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency By Rithin Skaria (Author), Jatinder Pal Singh (Foreword) Publisher: Packt Publishing |
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PowerShell Automation and Scripting for Cybersecurity: Hacking and defense for red and blue teamers By Miriam C. Wiesner (Author), Tanya Janca (Foreword) Publisher: Packt Publishing |
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The Shape of Data: Network Science, Geometry-Based Machine Learning, and Topological Data Analysis in R By Colleen M. Farrelly (Author), Yaé Ulrich Gaba (Author) Publisher: No Starch Press |
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Analog and Hybrid Computer Programming (de Gruyter Textbook) By Bernd Ulmann Publisher: De Gruyter Oldenbourg |
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The Game Narrative Toolbox (Focal Press Game Design Workshops) By Tobias Heussner (Author), Toiya Kristen Finley (Author) et al. Publisher: CRC Press |
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Pro Jakarta EE 10: Open Source Enterprise Java-based Cloud-native Applications Development By Peter Späth Publisher: Apress |
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Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications) By Fengxiang He (Author), Dacheng Tao (Author) Publisher: Springer |
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