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This week’s new 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 ★ Awesome Robotics Projects for Kids: 20 Original STEAM Robots and Circuits to Design and Build By Bob Katovich |
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Advancement of Machine Intelligence in Interactive Medical Image Analysis
By Editors at Springer |
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
By Sebastian Raschka, Vahid Mirjalili |
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Cracking the AP Computer Science A Exam, 2020 Edition: Practice Tests & Prep for the NEW 2020 Exam
By The Princeton Review |
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Super Arduino: Step-by-Step Instructions to Build Cool Gadgets
By Kenneth Hawthorn |
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Beginning Database Programming Using ASP.NET Core 3: With MVC, Razor Pages, Web API, jQuery, Angular, SQL Server, and NoSQL
By Bipin Joshi |
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Real-World Software Development: A Project-Driven Guide to Fundamentals in Java
By Raoul-Gabriel Urma, Richard Warburton |
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Designing Elixir Systems With OTP: Write Highly Scalable, Self-healing Software with Layers
By II James Edward Gray, Bruce A. Tate |
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Gracie: An Innovator Doesn’t Complain About The Problem. She Solves It!
By Daphne McMenemy |
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Data Structures & Algorithms in Swift (Third Edition): Implementing Practical Data Structures with Swift
By raywenderlich Tutorial Team, Kelvin Lau, Vincent Ngo |
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Think Java: How to Think Like a Computer Scientist
By Allen B. Downey, Chris Mayfield |
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Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python
By John Hany, Greg Walters |
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Hands-On Cloud-Native Applications with Java and Quarkus: Build high performance, Kubernetes-native Java serverless applications
By Francesco Marchioni |
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Operating Systems Foundations with Linux on the Raspberry Pi: Textbook
By Wim Vanderbauwhede, Jeremy Singer |
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Advanced Deep Learning with R: Become an expert at designing, building, and improving advanced neural network models using R
By Bharatendra Rai |
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