The new coronavirus pneumonia (COVID-19) that broke out at the end of 2019 was designated by the World Health Organization (WHO) as an "emergency public health event of international concern." In the process of epidemic prevention and control, big data and Internet technology have played an important role in the collection, analysis, and release of epidemic data. The purpose of the project is to implement a Python-based data analysis and visualization program for the COVID-19 epidemic. The thesis displays the epidemic situation and transmission characteristics of the existing data through a visualization scheme, establishes a dynamic model of infectious diseases, evaluates the prevention and control measures of the epidemic situation, and makes recommendations and early warnings. In addition, to a certain extent, it can predict the trend of epidemic diseases and provide reference for epidemic prevention and control decisions and public behavior.

Keywords : Novel coronavirus pneumonia; COVID-19; Python; data analysis; data visualization.