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  1. Python Programming In Context Bradley  Miller

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  2. An Introduction To Python Programming Mohbey

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  3. Introduction to Python Programming and Data Structures 3/e Liang

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  4. Manifold Learning Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

    出版 2024
    “...The book gives access to python libraries available on gitlab.com, which have been developed as part of the research program [FUI-25] MORDICUS funded by the French government. ...”
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  5. Optimization Problems in Transportation and Logistics: A Practical Guide

    出版 2024
    “...All exercises describe the Python programs and optimization libraries that can be used to solve them. ...”
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  6. Foundations of Robotics

    出版 2024
    “...A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. ...”
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  7. Beginners in Computer Science Studies Dr. Ignatious Herman, Er. S. Nagarajan, Er. S. P. Sudha

    出版 2024
    “...Programming languages such as Python, Java, and C++ are introduced as vehicles for teaching programming skills and logical reasoning, alongside basic software development practices. ...”
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  8. Notebooks for Operations Research: a practical guide to operations research with Python Fraile Gil, Francisco

    出版 2024
    “...Notebooks for Operations Research is a practical guide that uses Python and Jupyter Notebooks to teach the principles and applications of operations research. ...”
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  9. Tecnología de la programación Hernández, L. Daniel

    出版 2025
    “...This book addresses the foundations of modern programming, with a widely used and demanded programming language in scientific disciplines (Python) so that students in mathematics (or other areas) can have a versatile profile when facing problems of problemsdifferent mathematical nature. ...”
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  10. Programming Foundations Šoštarić, Nikolina

    出版 2025
    主题: “...Introductory Python Programming...”
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  11. Quantum Computing from Hopfield Nets Bauckhage, Christian, Sifa, Rafet

    出版 2025
    “...Most of the examples are concerned with combinatorial optimization and consider problems that can be cast as quadratic unconstrained binary optimization problems. Numerous python/numpy/scipy codes support the mathematical discussion and demonstrate how to put theory into practice, accompanied by exercises for each chapter. ...”
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  12. Programming Persistent Memory Scargall, Steve

    出版 2021
    “...What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK) Design and optimize data structures for persistent memory Study how real-world applications are modified to leverage persistent memory Utilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc....”
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  13. Computational Cognitive Modeling and Linguistic Theory Brasoveanu, Adrian, Dotlačil, Jakub

    出版 2021
    “...All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. ...”
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