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The [pyOPALTools](https://gitlab.psi.ch/OPAL/pyOPALTools/wikis/home) Python package contains many tools for pre- and postprocessing, and analysing and plotting output data.
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See also [Post Processing](PostProcessing).
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## OPAL for Developers: Coding Style and Conventions
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## OPAL for Developers
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* Development
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* [Coding Style and Conventions](For-Developers/Codingstyle)
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* [Development workflow, Git and Gitlab usage](For-Developers/OPAL-Development-Workflow)
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* [Release Procedure](For-Developers/Release-Procedure)
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* Documentation
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* [_OPAL_ source code documentation](http://amas.web.psi.ch/docs/opal/master-doxygen/html/)
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* [_OPAL_ source code documentation](http://amas.web.psi.ch/opal/CodeDocumentation/master/)
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* [IPPL Documentation](For-Developers/ippl_user_guide.pdf)
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* [Most Used Directories in the Code](For-Developers/Most-Used-Directories-in-the-Code)
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* [Technology & Ideas](For-Developers/tech-ideas)
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