Python libraries and their usage in visualizing meteorological data

The thesis is dedicated to the research of different Python libraries, exploring their functionalities and limitations with the focus on their general use and in meteorological area. As an outcome of this research, the list of the libraries used in meteorology will be presented with comparison by functionalities as well as a small demo of visualized meteorological data using one or more libraries. The theoretical part includes research on Python as a programming language, the history and practices of data visualization in general and of meteorological data in particular. The empirical part consists of exploring the Python’s libraries for visualization in general and in meteorological data. The practical part shows how meteorological data can be visualized using one or more of the libraries. The outcomes of the thesis can be used by those who are generally interested in Python libraries and want to start using them for visualization as well as those who want to learn more about meteorological data visualization