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This article reviews software tools for economic modeling, highlighting their impact on complex economic issues.
This article discusses modern software products used for mathematical and economic modeling. Special attention is paid to their capabilities, advantages, and limitations in solving complex economic problems. Tools such as MATLAB, Python (libraries NumPy, Pandas, SciPy), R, GAMS, and others are considered, which enable data analysis, forecasting, and optimization of economic processes. Examples of successful applications of these tools in global and Russian practice are provided, including financial market modeling, risk management, and resource optimization. The prospects for the development of software products for economic modeling in the context of digitalization are also discussed.
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Koval et al. (2025) studied this question.
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