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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Host Quntlib Address Country ns1. Social Engagement Facebook Shares: Implementing QuantLib is available as an ebook from Leanpub in a variety of formats suitable for reading on all kinds of computers and tablets. Not Applicable Alexa BackLinks: Implementing QuantLib, a blog by Luigi Ballabio. Not Applicable H6 Headings: Updated 3 years 8 months ago.
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 Linkedin Shares: The posts and screencasts use IPython notebooks to showcase features of the library by means of working examples and to provide guidance for its usage.
Home of the Implementing QuantLib book.
Does any body has a copy of “Implementing QuantLib ” ?
The book material was also featured as blog posts, collected on this page. Interactive infographic about the evolution of browsers and the web. Traffic Report Daily Unique Visitors: Alexa Search Engine Traffic.
You will find that it covers issues that you might also face, as well as some possible solutions and implenenting rationale.
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Not Applicable Alexa Rank: 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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