LabPlot/UserGuide: Difference between revisions

@@ Line 15: / Line 15: @@
 == [[Special:myLanguage/LabPlot/Statistics|Statistics]] ==
-== Themes and Templates ==
+== [[Special:myLanguage/LabPlot/ThemesAndTemplates|Themes and Templates]] ==
 == [[Special:myLanguage/LabPlot/DataAnalysis|Data Analysis]] ==
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 * [[Special:myLanguage/LabPlot/DataAnalysis/DataReduction|Data Reduction]]
-== CAS Computing ==
+== [[Special:myLanguage/LabPlot/ComputationalNotebooks|Computational Notebooks]] ==
-LabPlot can be used as a frontend to different open-source computer algebra systems (CAS) like Maxima, Octave, R, Scilab, and Sage or programming languages providing similar capabilities like Python and Julia. LabPlot recognizes different CAS variables holding array-like data and allows selecting them as a source for curves. So, instead of providing columns of a spreadsheet as the source for x- and y-data, the user provides the names of the corresponding CAS-variables. Currently supported CAS data containers are
-* Maxima lists
-* Python lists, tuples and NumPy arrays
-* Julia vectors and tuples
-With this, powerful calculations carried out inside of different CAS environments can be combined with the user-friendly visualization and editing capabilities of LabPlot.
 == [[Special:myLanguage/LabPlot/ImportExport|Import and Export]] ==

Latest revision as of 08:01, 12 March 2022