Quantitative Analysis.
Trading Platform.
Python for Excel.
Author.
I.Installation.
1.Directory structure.
2.Setting up developement environment.
A.Windows notes.
a.MSys notes.
b.Pythonxy on Windows notes .
c.Boost on Windows notes.
d.STLport notes.
e.MS Visual C++ 7.1 notes.
B.Ubuntu notes.
II.OTS Scheduler.
III.OTS Python Object Browser.
Bibliography.
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Windows notes.


he following list reflects my personal software preferences on Windows platform. It should be downloaded and installed in that order because of some interdependencies.

1. 7-zip : packing and unpacking files in various formats.

2. notepad C++: convenient editors with wealth of options.

3. MinGW: free C++ compiler on Windows. It is useful for verification of C++ code portability.

4. Msys: unix-style shell for file finding, grep-ing and running unix-like scripts on Windows.

5. Python via www.pythonxy.com: convenient python installer. It saves time installing most useful Python libraries.

6. boost and sltport: principal C++ libraries.

7. Microsoft Visual C++ 7.1 (.NET 2003).

Set a PATH variable to point to the directory OTSProjects\Libs_msvc71. It contains the dll-dependencies of the project.

Set a PATH variable to point to 7-zip installation.




a.MSys notes.
b.Pythonxy on Windows notes .
c.Boost on Windows notes.
d.STLport notes.
e.MS Visual C++ 7.1 notes.

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