GSoC/2024/StatusReports/IsraelGaladima: Difference between revisions

Revision as of 16:21, 28 June 2024

Improve Python Interoperability with LabPlot

LabPlot is a data analysis and visualisation application in KDE. Since Python is heavily used within the data science community, this project aims to make LabPlot a more "Python-friendly" application. The project goals are to:

Create Python bindings to the LabPlot C++ library, and
Enable Python scripts to control a running LabPlot application.

These goals will respectively allow users to:

Access LabPlot's data analysis and visualisation tools from a Python program, and
Create complex workflows using Python within a running LabPlot application.

Work report

Links to Blogs and other writing

Blog Post #1

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 == Improve Python Interoperability with LabPlot  ==
-LabPlot is a data analysis and visualisation application in KDE. Since Python is heavily used within the data science community, this project aims to make LabPlot a more "Python-friendly" application. The first goal is to create Python bindings to the LabPlot C++ library. The second and final goal is to enable Python scripts to control a running LabPlot application. These goals will respectively allow users to access LabPlot's data analysis and visualisation tools from Python and allow users create complex workflows by using Python from within LabPlot.
+LabPlot is a data analysis and visualisation application in KDE. Since Python is heavily used within the data science community, this project aims to make LabPlot a more "Python-friendly" application. The project goals are to:
+* Create Python bindings to the LabPlot C++ library, and
+* Enable Python scripts to control a running LabPlot application.
+These goals will respectively allow users to:
+* Access LabPlot's data analysis and visualisation tools from a Python program, and
+* Create complex workflows using Python within a running LabPlot application.
 == Work report ==