Download Python for Quantum Chemistry: A Full Stack Programming Guide (Volume 23)

Python for Quantum Chemistry: A Full Stack Programming Guide (Volume 23) (Theoretical and Computational Chemistry). Quantum chemistry requires ever higher computational performance, with more and more sophisticated and dedicated Python scripts being required to solve challenging problems.

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.

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

Book details

  • Author (s): Qiming Sun
  • Publication year: 2025
  • Publisher: Elsevier
  • Language: English
  • ISBN: 0443238375, 9780443238376, 9780443238369
  • Pages: 717
  • Book format:  PDF
  •  File size: 6 MB
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