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Quantitative Analysis
Parallel Processing
Numerical Analysis
C++ Multithreading
Python for Excel
Python Utilities
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I. Python Object Browser.
II. Python to R Communicator.
III. Manipulation of piecewise polynomial functions.
IV. Building C++ projects.

Python Utilities.


his section covers several useful Python utilities. Some of these utilities are prerequisites for other topics on this website.



Table of Contents.

I. Python Object Browser.
1. Implementation of Python Object Browser.
II. Python to R Communicator.
1. Why not use RPy?
2. Example of R communication.
3. Under the hood of Python to R Communicator.
4. Installation procedure for Python to R Communicator.
5. Types of data acceptable by R Communicator.
III. Manipulation of piecewise polynomial functions.
1. History of changes (poly).
2. Installation of the poly module.
3. Introduction into the poly module.
4. Calculus behind the poly module.
IV. Building C++ projects.
1. Why not use bjam?
2. Installation of ots.make.
3. Code structure (ots.make).
4. Example. Building boost::python DLL.
5. Example. Building boost::python extension involving Cuda code.
6. Example. Building in-process COM DLL with embedded boost::python engine.



















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