Hi Guys,
I am a developer with a background in finance (mostly primebrokerage, equity trading, asset management) . I have done c++ programming in the past, and have been mostly developing in java/j2ee (and some python in my spare time) for past 6 years. I have not done much C++ programming in past 2-3 years, but I think my understanding of OO programming and design patterns is OK. I had studied electrical engineering, and had done some advanced Mathematics (PDE, statisics and probablity, Fourier transforms etc) at the time (graduated in 1996), but again, not having used much of it in my day job, I would need some "jump start" to get my mental batteries charged again. I see this project as a perfect oppurtunity to work on something exciting (which is sadly lacking in my day job :( ).. and also to keep myself up to pace with advanced maths. Some questions: A. Given my skills, how and where could I contribute? B. what is the best way to get started with this project? C. What books would you guys recommend ? (esp for the mathematical background) Cheers, Vivek |
Vivek, apologies for the delay. On Sun, 2006-10-29 at 23:40 +0000, Vivek Rai wrote: > I see this project as a perfect oppurtunity to work on something > exciting (which is sadly lacking in my day job :( ).. and also to keep > myself up to pace with advanced maths. > > Some questions: > A. Given my skills, how and where could I contribute? You might have a look at the todo lists at <http://quantlib.org/reference/overview.html> and <http://quantlib.org/reference/todo.html> to see if you find anything that rings a bell. Writing test cases for currently untested classes might be useful too, even though it hardly qualifies as "something exciting" :) > B. what is the best way to get started with this project? You might start from how the library can be used (you can look at the examples, or some of the test cases) and work inwards to see how it works. We're planning to provide some more documentation, but it's a slow process. > C. What books would you guys recommend ? (esp for the mathematical background) I'd go for the Joshi ones (the one on mathematical finance and the one on finance and design patterns.) The fact that Mark started contributing to QuantLib does not bias the choice in any way :) Later, Luigi ---------------------------------------- All generalizations are dangerous, even this one. -- Alexandre Dumas |
Hi Luigi, You might have a look at the todo lists at Cheers, Vivek |
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