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The article presents the results of a study devoted to planning and forecasting the activities of the forest complex of the region. The methodological basis for forecasting the development of the forest complex of the region using Python involves an integrated approach. Python, due to its versatility, a wide range of libraries for data analysis and visualization, allows you to build complex mathematical models that take into account various factors. The article presents some of the results on this topic of research. Thus, a general scheme for developing a forecasting program based on Python is shown. Testing of forecasting the development of the forest complex of the region based on Python was carried out in several regions. The model for forecasting strategic development developed in Python is a planning and forecasting tool intended for use by government agencies and forestry business.
forest complex, forecasting the development of the forest complex, Python, visualization, testing
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