CAPABILITIES OF PYTHON LIBRARIES IN SOLVING DIFFERENTIAL EQUATIONS

Authors

  • Ruxsora Anvarbekova Author

DOI:

https://doi.org/10.47390/ydif-y2026v2i2/n02

Keywords:

differential equations, Python, SymPy, SciPy, numerical solution, analytical solution.

Abstract

This article analyzes the capabilities of the Python programming language in the field of scientific computing, in particular the role, importance, advantages and limitations of the SymPy and SciPy libraries used in solving differential equations.

References

1. A.Meurer, C.Smith, M.Paprocki et al. SymPy: Symbolic Computing in Python. PeerJ Computer Science, 2017.

2. P. Virtanen, R. Gommers, T.E.Oliphant, et al. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 2020.

3. H.P.Langtangen. A Primer on Scientific Programming with Python Springer, 2016.

4. J.D.Lambert . Numerical Methods for Ordinary Differential Systems: The Initial Value Problem. John Wiley & Sons, 1991.

5. E.Hairer, S.P.Nørsett & G.Wanner. Solving Ordinary Differential Equations I:Nonstiff Problems.Springer-Verlag, 1993.

6. A.Imomov. Ayirmali sxemalar nazariyasi. O’quv-uslubiy majmua. Namangan,2023

7. A.Imomov. Hisoblash usullari. O’quv qo’llanma. Namangan,2024

8. https://docs.python.org/3

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Published

2026-01-27

Issue

Vol. 2 No. 2 (2026): SCIENCE OF THE NEW ERA: INNOVATIVE IDEAS AND SOLUTIONS FOR HUMANITY

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Anvarbekova , R. (2026). CAPABILITIES OF PYTHON LIBRARIES IN SOLVING DIFFERENTIAL EQUATIONS. SCIENCE OF THE NEW ERA: INNOVATIVE IDEAS AND SOLUTIONS FOR HUMANITY, 2(2), 12-14. https://doi.org/10.47390/ydif-y2026v2i2/n02