The Python programming language handles an inherent data structure with its built-in dictionary. This structure is made up of pairs of keys and values. Each key included in the dictionary is unique and can be assigned a value, which can be of different types, such as a string, number, bool, or another Python class type. By making use of dictionaries, SpectraFit is able to maintain consistency in the input data, keep tabs on and modify solver-related information, and store metadata that describes and gives meaning to the data being analyzed. The storing of such information in a dictionary is an effective and efficient way of processing non-structured data, which can have different numbers of distribution functions and various other factors. However, it is possible to store this information in a structured format like SQL, if the support object type allows for cells like PostgreSQL or MySQL offers. However, SpectraFit adheres to the principles of Python Zen and keeps things simple by avoiding complex implementations that are difficult to explain. Thus, SpectraFit has opted to store data in dictionaries.