Python for Quants. Volume II. is designed for quantitative and risk analysts working in financial markets. It covers the advanced concepts of Python programming by addressing ready-to-use pinpoint solutions to the problems found in market, credit, operational risk management; computational modelling and statistics; financial time-series analysis; machine learning; portfolio construction and optimisation; and fixed income related computations.
- Advanced Aspects of Python 3.6
- Financial Time-Series Analysis
- Machine Learning and AI
- Quantitative Risk Management
- Portfolio Optimisation
- Fixed Income