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Comprehensive Python-based financial modeling templates for derivatives pricing and risk management
Step-by-step code examples and explanations for building flexible, extensible pricing frameworks
Technical guidance on integrating Python with external numerical libraries and Microsoft Excel
Real-world case studies and practical applications to enhance learning and application
Graduated approach to topics, starting from basic algorithms to advanced model development
Summarized by Shop
Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the highlevel elegance, accessibility, and flexibility of Python
