QuantLib Python Cookbook by Goutham Balaraman, Luigi Ballabio
Requirements: .PDF reader, 10 Mb
Overview: Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples. They provide a sort of cookbook that showcases features of the library by means of working examples and provides guidance to its use. Among other content, the book also includes notebooks that reproduce the results from the often-cited Ametrano and Bianchetti paper 'Everything You Always Wanted to Know About Multiple Interest Rate Curve Bootstrapping but Were Afraid to Ask'.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
(Closed Filehost) https://ul.to/9h97xw10
https://turb.cc/3k41wxq4u0bs.html
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Requirements: .PDF reader, 10 Mb
Overview: Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples. They provide a sort of cookbook that showcases features of the library by means of working examples and provides guidance to its use. Among other content, the book also includes notebooks that reproduce the results from the often-cited Ametrano and Bianchetti paper 'Everything You Always Wanted to Know About Multiple Interest Rate Curve Bootstrapping but Were Afraid to Ask'.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
(Closed Filehost) https://ul.to/9h97xw10
https://turb.cc/3k41wxq4u0bs.html
Trouble downloading? Read This.