References

Fou20

The Python Software Foundation. The Python Tutorial. 2020. Online; accessed 23 February 2020. URL: https://docs.python.org/3/tutorial.

MSP+17

Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondřej Čertík, Sergey B. Kirpichev, Matthew Rocklin, AMiT Kumar, Sergiu Ivanov, Jason K. Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Andy R. Terrel, Štěpán Roučka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, and Anthony Scopatz. SymPy: symbolic computing in Python. PeerJ Computer Science, 3:e103, January 2017. URL: https://doi.org/10.7717/peerj-cs.103, doi:10.7717/peerj-cs.103.

Oli07

Travis E. Oliphant. Python for scientific computing. Computing in Science & Engineering, 2007. doi:10.1109/MCSE.2007.58.

SB02

J. Stoer and R. Bulirsch. Introduction to Numerical Analysis. Texts in Applied Mathematics 12. Springer-Verlag New York, 3rd edition, 2002. ISBN 978-0-387-95452-3.

vdWCV11

S. van der Walt, S.C. Colbert, and G. Varoquaux. The numpy array: a structure for efficient numerical computation. Computing in Science & Engineering, 2011. doi:10.1109/mcse.2011.37.

Hunter07

J. D. Hunter. Matplotlib: a 2d graphics environment. Computing in Science & Engineering, 9(3):90–95, May 2007. doi:10.1109/MCSE.2007.55.

VirtanenGommersOliphant+20

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake Vand erPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1. 0 Contributors. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17:261–272, 2020. doi:https://doi.org/10.1038/s41592-019-0686-2.