11/14/2022 0 Comments Python for finance pdfTopics are introduced gradually, each building on the last. Concrete applications to real-world pricing problems are also provided. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. – David Louton, Professor of Finance, Bryant University This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. "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.
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