Python for Quantum Chemistry

Name: Python for Quantum Chemistry
Brand: Elsevier Science
SKU: 9780443238376
Price: 164.48 EUR
Availability: InStock

A Full Stack Programming Guide

Autor: Qiming Sun

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science

Dostupnosť: Skladom u dodávateľa

Odosielame za 9-15 dní

164.48 €

Quantum chemistry requires ever higher computational performance, with more and more sophisticated a...

Informácie o knihe

Autor

Qiming Sun

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2025

Stránok

506

EAN

9780443238376

ISBN

0443238375

Enbook ID

46519946

Vydavateľ

Elsevier Science

Hmotnosť

1504

Rozmery

191 x 235

Kompletný popis

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.

End-to end guide for advanced Python programming skills and tools related to quantum chemistry research
Tackles the following questions: How can you ensure the Python runtime is manageable when the preliminary implementation becomes complicated or evolves many branches? How do I ensure that others' Python program works properly in my project? How do I make my Python project reusable for others?
Covers in depth the crucial topic of Python code optimization methods with high-performance computing technologies
Provides examples of Python applications with cutting-edge technologies such as automatic code generation, cloud computing, and GPGPU
Includes discussion of Python runtime mechanism and advanced Python technologies

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Python for Quantum Chemistry

A Full Stack Programming Guide

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