Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Covers the derivation of formal solutions to the Radiative Transfer Equation and discusses isotropic scattering, optical thickness, and Monte Carlo method applications.
Explores arrays, vectors, and strings in C++, covering their practical aspects and specific functions/methods.
Covers unit testing with JUnit for array methods, including testing minimum elements, handling exceptions, calculating averages, and sorting arrays.
