Cheers. This is a short post to let you know that Goutham Balaraman and I have mostly finished the content of the QuantLib Python Cookbook. Just a short post with a bit of news: the slides of the talks from the QuantLib User Meeting are available on the QuantLib site. View Implementing QuantLib’s profile at MoneyScience, the Social Network for Quantitative Finance, Risk Management and Technology Practitioners, Vendors.
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Meta Tags of implementingquantlib. Tue, 31 Mar Based on your constraints, it is possible—even likely—that you will choose other solutions; but you might profit from this discussion just the same.
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No Risk Issues Siteadvisor Rating: Not Applicable H6 Headings: The book is primarily aimed at users wanting to extend the library with their own instruments or models; if you desire to do so, the description of the available class hierarchies and frameworks will provide you with information about the hooks you need to integrate your code with QuantLib and take advantage of its facilities.
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Not Applicable Linkedin Shares: Not Applicable Bing Indexed Pages: If you are, or want to be, a QuantLib user, you will find here useful information on the design of the library that might not be readily apparent when reading the code. Not Applicable Delicious Shares: As qusntlib active threats were reported recently by users, implementingquantlib. Implementing QuantLib, a blog by Luigi Ballabio.