Fundamentals of Python Modeling in Finance

Introduction to python: Programming in 3 Easy Steps, The Bento Box Method, Why learning a new programming language? From Excel to Python, From VBA to Python Python fundamentals: Installing Python Packages, Representing and working with data: tuples, lists, dictionaries and sets, Designing functions and organizing larger programs into functions Applications of Python in Finance: On Investments Applications of python in portfolio management: On Portfolio Management Using the packages: NumPy Examples: interpolation functions, matrix decompositions, computing eigenvalues, solving systems of equations and matrix inversion, SciPy Examples: statistical functions, how to generate different distributions and perform, statistical computations, Pandas Examples: working with tabular data in Python (including missing data and data alignment)