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This Week’s books in Programming
Here are this week’s new releases for the category ‘Programming’.
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★ Our Staff Pick ★ Automate the Boring Stuff with Python Workbook: Projects and Exercises to Sharpen Your Python Skills By Al Sweigart Publisher: No Starch Press |
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Architectural Intelligence in the Age of Artificial Intelligence (Architekturen Book 93) By Andri Gerber (Editor), Oya Atalay Franck (Editor), Michael Mieskes (Editor) Publisher: transcript Verlag |
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How to Measure Anything in Project Management By Douglas W. Hubbard (Author), Alexander Budzier (Author), Andreas Bang Leed (Author) Publisher: Wiley |
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AI-First Leader: A Practical Guide to Organizational AI Leadership By Bhavesh Mehta (Author), Mahesh Kumar (Author) Publisher: Chapman and Hall/CRC |
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CompTIA Data+ Study Guide: Exam DA0-002 (Sybex Study Guide) By Mike Chapple (Author), Sharif Nijim (Author) Publisher: Sybex |
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Deep Learning in Quantitative Trading (Elements in Quantitative Finance) By Zihao Zhang (Author), Stefan Zohren (Author) Publisher: Cambridge University Press |
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Getting to Know ArcGIS Enterprise By Jon Emch (Author), Diana Muresan (Author), Travis Ormsby (Author) Publisher: Esri Press |
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Python Automation For Dummies By Alan Simpson Publisher: For Dummies |
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FinOps for Snowflake: A Guide to Cloud Financial Optimization By Y V Ravi Kumar (Author), Velu Natarajan (Author), Parag Bhardwaj (Author) Publisher: Apress |
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SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration By Bob Ward Publisher: Apress |
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Mathematical Methods in Data Science: Bridging Theory and Applications with Python (Cambridge Mathematical Textbooks) By Sébastien Roch Publisher: Cambridge University Press |
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Coding For Dummies, All New Edition (For Dummies (Computer/Tech)) By Paul McFedries Publisher: For Dummies |
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Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale By Muhammad Fasih Ullah Publisher: O'Reilly Media |
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Machine Learning with Python: Principles and Practical Techniques By Parteek Bhatia Publisher: Cambridge University Press |
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Computer, The: A Brief History of the Machine That Changed the World By Eric G. Swedin Publisher: Bloomsbury Academic |
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The Evolune Metaverse: Meta-Avatars, Spatial Computing, and the Evolution of Humans with AI (Maker Innovations Series) By Frank Lisitano (Author), John Hickie (Author) Publisher: Apress |
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Machine Learning in Nanoscale Materials Design: From Basics to Algorithm Implementation (Materials Horizons: From Nature to Nanomaterials) By Kritesh Kumar Gupta (Author), Sudip Dey (Author), Tanmoy Mukhopadhyay (Author) Publisher: Springer |
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Linear Algebra for Data Science with Python (Chapman & Hall/CRC The Python Series) By John M. Shea Publisher: Chapman and Hall/CRC |
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Effective Platform Engineering By Ajay Chankramath Publisher: Manning Publications |
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Insight-Driven Problem Solving: Analytics Science to Improve the World By Soroush Saghafian Publisher: Cambridge University Press |
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Artificial Intelligence and Machine Learning for Climate Disaster Management (Disaster Resilience and Green Growth) By Deepak Kumar (Editor), Nick P. Bassill (Editor) Publisher: Springer |
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The Value Vector: Building Scalable Generative AI-Based Applications By Jaydeep Chakrabarty (Author), Harinee Muralinath (Author) Publisher: Apress |
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Supervised Learning in Remote Sensing and Geospatial Science By Aaron E Maxwell (Author), Christopher Ramezan (Author), Yaqian He (Author) Publisher: Elsevier |
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