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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 160,16
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EUR 188,83
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Añadir al carritoCondición: New. End-to end guide for advanced Python programming skills and tools related to quantum chemistry researchTackles the following questions: How can you ensure the Python runtime is manageable when the preliminary implementation becomes complica.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division Jun 2025, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 234,89
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Quantum chemistry requires ever higher computational performance, with more and more sophisticated and dedicated Python scripts being required to solve challenging problems. Although resources for basic use of Python are widely (and often freely) available online and in literature, truly cohesive materials for advanced Python programming skills are lacking.Qiming Sun, a developer of the popular Python package PySCF, provides a comprehensive, end-to-end practical resource for researchers and engineers who have basic Python programming experiences chiefly in computational chemistry but want to take their use of the software forwards to the next level, the book provides an insightful exploration of Numpy, Pandas, and other data analysis tools. Readers will learn how to manage their Python computational projects in a professional way, with various tools and protocols for computational chemistry research and general scientific computing tasks exhibited and analysed from a technical perspective. Multiple programming paradigms including object-oriented, functional, meta-programming, dynamic, concurrent, and vector-oriented are illustrated in various technology scenarios allowing readers to properly use them to enhance their program projects. Readers will also learn how to use the presented optimization technologies to speed up their Python applications, even to the level as fast as a native C++ implementation. The applications of these technologies are then demonstrated using quantum chemistry Python applications.Python for Quantum Chemistry: A Full Stack Programming Guide is written primarily for graduate students, researchers and software engineers working primarily in the fields of theoretical chemistry, computational chemistry, condensed matter physics, material modelling, molecular simulations, and quantum computing.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 127,45
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. Python for Quantum Chemistry: A Full Stack Programming Guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 506 pages. 9.25x7.50x9.14 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: CitiRetail, Stevenage, Reino Unido
EUR 152,51
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Añadir al carritoPaperback. Condición: new. Paperback. Quantum chemistry requires ever higher computational performance, with more and more sophisticated and dedicated Python scripts being required to solve challenging problems. Although resources for basic use of Python are widely (and often freely) available online and in literature, truly cohesive materials for advanced Python programming skills are lacking.Qiming Sun, a developer of the popular Python package PySCF, provides a comprehensive, end-to-end practical resource for researchers and engineers who have basic Python programming experiences chiefly in computational chemistry but want to take their use of the software forwards to the next level, the book provides an insightful exploration of Numpy, Pandas, and other data analysis tools. Readers will learn how to manage their Python computational projects in a professional way, with various tools and protocols for computational chemistry research and general scientific computing tasks exhibited and analysed from a technical perspective. Multiple programming paradigms including object-oriented, functional, meta-programming, dynamic, concurrent, and vector-oriented are illustrated in various technology scenarios allowing readers to properly use them to enhance their program projects. Readers will also learn how to use the presented optimization technologies to speed up their Python applications, even to the level as fast as a native C++ implementation. The applications of these technologies are then demonstrated using quantum chemistry Python applications.Python for Quantum Chemistry: A Full Stack Programming Guide is written primarily for graduate students, researchers and software engineers working primarily in the fields of theoretical chemistry, computational chemistry, condensed matter physics, material modelling, molecular simulations, and quantum computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443238375 ISBN 13: 9780443238376
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 297,29
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Añadir al carritoPaperback. Condición: new. Paperback. Python for Quantum Chemistry: A Full Stack Programming Guide This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.