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- | Python is an excellent choice if it comes to writing software for scientific data analysis. With its comparably simple syntax it is easy to learn yet powerful. The scientific software stack (SciPy) is well developed, and perhaps the best: Python is free software. | + | **Python** is an excellent choice if it comes to writing software for scientific data analysis. With its comparably simple syntax it is easy to learn yet powerful. The scientific software stack (SciPy) is well developed, and perhaps the best: Python is free software. |
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- | [[.: | + | [[.: |
===== trepr ===== | ===== trepr ===== | ||
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- | [[.: | + | [[.: |
===== FitPy ===== | ===== FitPy ===== | ||
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===== SpinPy ===== | ===== SpinPy ===== | ||
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- | MATLAB(r) has long been a prime choice for writing software for scientific data analysis. It features a very simple to use GUI, a simple syntax, and excellent support for all kinds of data processing. However, | + | **MATLAB(r)** has long been a prime choice for writing software for scientific data analysis. It features a very simple to use GUI, simple syntax, and excellent support for all kinds of data processing. However, |
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- | [[.:matlab-trepr: | + | [[.:trepr-toolbox: |
===== trepr toolbox ===== | ===== trepr toolbox ===== | ||
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[[.: | [[.: | ||
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- | [[.:eprrp:|{{fa>code?48}}]] | + | [[.:eprfit:|{{: |
- | ===== eprrp ===== | + | ===== eprfit |
- | [[.:eprrp:|Simulation program | + | [[.:eprfit:|MATLAB toolbox |
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</ | </ | ||
+ | <WRAP group centeralign> | ||
+ | <WRAP third column> | ||
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+ | </ | ||
+ | |||
+ | <WRAP third column> | ||
+ | [[.: | ||
+ | |||
+ | ===== eprcontrol ===== | ||
+ | |||
+ | [[.: | ||
+ | </ | ||
+ | |||
+ | <WRAP third column> | ||
+ | <wrap hide> | ||
+ | </ | ||
+ | </ | ||
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+ | \\ | ||
+ | |||
+ | **A note on the logos:** The copyright of the Python logo belongs to the [[https:// | ||