Choosing the optimal programming language for the generation of mathematical problems
https://doi.org/10.25205/1818-7900-2024-22-3-15-27
Abstract
This paper compares mathematical libraries of web programming languages JavaScript, PHP, Python to create generators in the field of some topics of mathematical analysis and computational mathematics.
The main objective of the study is to conduct an experiment with a given set of tasks, using the libraries Math.js, Algebrite, Nerdamer, MathPHP, NumPy, SymPy, SciPy to determine the optimal functionality and performance for performing character and numerical computing.
The experimental study was carried out with the help of the libraries listed, where the corresponding tasks were computed with the measurement of their speed. A comparative analysis of the obtained results of the study is given. The main problems that arose during the experiment in different libraries are shown. The obtained results can be used by developers and researchers who are involved in the design and implementation of generators of mathematical problems. In the process of work it is identified that JavaScript and PHP libraries do not fully support all functions for creating generators of mathematical problems. Python was much more efficient in both symbolic and numerical calculations.
About the Author
D. V. Vinokurova
Herzen State Pedagogical University of Russia
Russian Federation
Russian Federation
Darya V. Vinokurova, PhD Student
St. Petersburg
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Review
For citations:
Vinokurova D.V. Choosing the optimal programming language for the generation of mathematical problems. Vestnik NSU. Series: Information Technologies. 2024;22(3):15-27. (In Russ.) https://doi.org/10.25205/1818-7900-2024-22-3-15-27
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