One powerful feature of Python is the keyword-argument syntax, which can be called via an arbitrary keyword dictionary <<**kwargs>>. With the keyword-argument syntax, a function can easily receive multiple keyword arguments along with their corresponding values. Even though it sounds very technical, this enables SpectraFit to access all the advanced fitting options and methods offered by the lmfit package in Python on an intuitive, user-friendly level, respectively. For Figure , the "least_squares" in tandem with the Trust Region Reflective method was chosen. This method has proven to be highly efficient and effective in solving complex , and we highly recommend this method for your scientific requirements. However, the lmfit package offers 23 different fitting methods, as shown in the technical documentation , and the key-word-argument syntax of SpectraFit fully supports them.