Why another set of Python wrappers for QuantLib? The SWIG wrappers provide a very good coverage of the library but have. No docstring or function signature available on the Python side.

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Monte carlo and fundamental analysis. A recent discussion about stock options and the creation of Trefis. So associating probability distributions to revenue, expense, and other model drivers should be vaguely familiar at least. But why do this? Look for fundamental value to .

To ask for your feed to be added to the planet, email Gael Varoquaux. Memex - Mining the Dark Web. Memex program, which has been featured on 60 Minutes. NumFOCUS Supported Project Data Carpentry Receives Grant. NumFOCUS is pleased to announce that one of our sponsored projects, Data Carpentry.

Thursday, September 1, 2011. Modern Portfolio Theory - A Python Implementation. In his presentation of Modern Portfolio Theory.

To ask for your feed to be added to the planet, email Gael Varoquaux. Talk from the 2015 PyData Seattle. Many of these new scalable data tools are relatively heavy-weight, involving brand new data structures or interfaces to other computing environments, but Dask.

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Data exploration, manipulation, and visualization start with loading data, be it from files or from a URL. Pandas has become the go-to library for all things data analysis in Python, but if your intention is to jump straight into data exploration and manipulation, the Canopy Data Import Tool. Can help, instead of having to learn the details of programming with the Pandas library. A bit, you will come across the.