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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’.
★ Our Staff Pick ★ Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark and TensorFlow, through AWS By Saket Mengle, Maximo Gurmendez |
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Programming Languages: Principles and Practices
By Editors at CLANRYE INTERNATIONAL |
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Database Management System MCQs: Multiple Choice Questions and Answers
By Arshad Iqbal |
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Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
By Abhishek Kumar Pandey, Pramod Singh Rathore, Dr S Balamurugan |
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Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
By Heiko Angermann |
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Digital Transformation of the Consulting Industry: Extending the Traditional Delivery Model
By Editors at Springer |
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Adventures in Graph Theory
By W. David Joyner |
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A Beginner’s Guide to 3D Modeling: A Guide to Autodesk Fusion 360
By Cameron Coward |
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Hands-On QT for Python developers: Build cross-platform GUI applications with Python and Qt
By Volodymyr Kirichinets |
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Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition
By Avik Sengupta |
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Kids Can Code!: Fun Ways to Learn Computer Programming
By Ian Garland |
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Game Logic: Level Up and Create Your Own Games with Science Activities for Kids
By Angie Smibert |
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Mathematical Geosciences: Hybrid Symbolic-Numeric Methods
By Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi |