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This paper presents a Python object-oriented software and code to compute theannual production resilience indicator. The annual production resilienceindicator can be applied to different anthropic and natural systems such asagricultural production, natural vegetation and water resources. Here, we showan example of resilience analysis of the economic values of the agriculturalproduction in Europe. The analysis is conducted for individual time-series inorder to estimate the resilience of a single commodity and to groups oftime-series in order to estimate the overall resilience of diversifiedproduction systems composed of different crops and/or different countries. Theproposed software is powerful and easy to use with publicly available datasetssuch as the one used in this study.

Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package