References

[LAMCE+22]

Johnny Wei-Bing Lin, Hannah Aizenman, Erin Manette Cartas Espinel, Kim Gunnerson, and Joanne Liu. An Introduction to Python Programming for Scientists and Engineers. Cambridge University Press, 2022.

[Per15]

Jeffrey M. Perkel. Programming: Pick up Python. Nature, 518:125, 2015. doi:10.1038/518125a.

[Per18]

Jeffrey M. Perkel. Why Jupyter is data scientists' computational notebook of choice. Nature, 563:145, 2018. doi:10.1038/d41586-018-07196-1.

[RLV+20]

Z. Rinkevicius, X. Li, O. Vahtras, K. Ahmadzadeh, M. Brand, M. Ringholm, N. H. List, M. Scheurer, M. Scott, A. Dreuw, and P. Norman. VeloxChem: A Python-driven density-functional theory program for spectroscopy simulations in high-performance computing environments. WIREs Comput. Mol. Sci., 10:e1457, 2020. URL: https://doi.org/10.1002/wcms.1457.

[Van16]

Jake VanderPlas. A Whirlwind Tour of Python. O'Reilly, 2016. URL: https://jakevdp.github.io/WhirlwindTourOfPython/.