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Python for Chemists, Paperback by Hill, Christian, Like New Used, Free shippi...

US $56.57
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    eBay item number:355103677640
    Last updated on Apr 19, 2025 01:54:24 PDTView all revisionsView all revisions

    Item specifics

    Condition
    Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
    ISBN
    9781009102049
    Book Title
    Python for Chemists
    Publisher
    Cambridge University Press
    Item Length
    9.6 in
    Publication Year
    2023
    Format
    Trade Paperback
    Language
    English
    Illustrator
    Yes
    Item Height
    0.3 in
    Author
    Christian Hill
    Genre
    Science
    Topic
    Physics / Mathematical & Computational
    Item Width
    6.7 in
    Number of Pages
    572 Pages

    About this product

    Product Identifiers

    Publisher
    Cambridge University Press
    ISBN-10
    1009102044
    ISBN-13
    9781009102049
    eBay Product ID (ePID)
    26060634593

    Product Key Features

    Book Title
    Python for Chemists
    Number of Pages
    572 Pages
    Language
    English
    Publication Year
    2023
    Topic
    Physics / Mathematical & Computational
    Illustrator
    Yes
    Genre
    Science
    Author
    Christian Hill
    Format
    Trade Paperback

    Dimensions

    Item Height
    0.3 in
    Item Length
    9.6 in
    Item Width
    6.7 in

    Additional Product Features

    LCCN
    2023-021044
    Reviews
    'This book is a very useful addition to the library of python books, and is squarely directed at chemists, covering all the main aspects of python that they will find useful, without getting bogged down in programming detail. The clear focus on chemistry examples from the start means that students will be able to quickly perform useful, Python-based tasks without having to invest time in learning abstract syntax. Python for chemists will be a valuable resource for chemists who wish to add an element of programming to their skills base.' John McGrady, University of Oxford
    Dewey Edition
    23/eng/20230927
    Dewey Decimal
    542/.85133
    Table Of Content
    1. Introduction; 2. Basic Python usage; 3. Strings; 4. Lists and loops; 5. Comparisons and flow control; 6. Functions; 7. Data structures; 8. File input/output; 9. Basic numpy; 10. Graph plotting with Matplotlib; 11. The steady-state approximation; 12. Liquid-vapour equilibrium; 13. Jupyter notebook; 14. LaTeX; 15. Chemistry databases and file formats; 16. More NumPy and Matplotlib; 17. Thermodynamic cycles; 18. Vectors, matrices and linear algebra; 19. Linear least squares fitting I; 20. Linear least squares fitting II; 21. Numerical integration; 22. Optimization with scipy.optimize; 23. Vibrational spectroscopy; 24. The morse oscillator; 25. Solving ordinary differential equations; 26. The oregonator; 27. Root-finding with scipy.optimize; 28. Rotational spectroscopy; 29. Peak finding; 30. Fitting the vibrational spectrum of CO; 31. pandas; 32. Simulating a powder diffraction spectrum; 33. The Hückel approximation; 34. Nonlinear fitting and constrained optimization; 35. SymPy; 36. Molecular orbital theory for H2+; 37. Approximations of the helium atom electronic energy; 38. Computational chemistry with Psi4 and Python; 39. Atomic structure; 40. Solutions.
    Synopsis
    This accessible and self-contained guide provides a comprehensive introduction to the popular programming language Python, with a focus on applications in chemistry and chemical physics. Ideally suited to students and researchers of chemistry learning to employ Python for problem-solving in their research, this fast-paced primer first builds a solid foundation in the programming language before progressing to advanced concepts and applications in chemistry. The required syntax and data structures are established, and then applied to solve problems computationally. Popular numerical packages are described in detail, including NumPy, SciPy, Matplotlib, SymPy, and pandas. End of chapter problems are included throughout, with worked solutions available within the book. Additional resources, datasets, and Jupyter Notebooks are provided on a companion website, allowing readers to reinforce their understanding and gain confidence applying their knowledge through a hands-on approach., This accessible and self-contained guide provides a comprehensive introduction to the popular programming language, Python, with a focus on applications in chemistry and chemical physics. End of chapter problems are included throughout, with worked solutions available, and additional resources are provided on a companion website.
    LC Classification Number
    QD39.3.E46

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