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Article . 2025
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https://dx.doi.org/10.48711/20...
Article . 2025
License: CC BY
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Schnupperkurs: Das Potential von QGIS mit der Python-Konsole freischalten

Introductory course: unlocking the potential of QGIS with the Python console
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2025 German Publisher:Fachinformationsdienst für Kartographie und Geobasisdaten
Authors: Schlolaut, Gordon;

doi: 10.48711/20250401-002

Schnupperkurs: Das Potential von QGIS mit der Python-Konsole freischalten

Abstract

Es gibt in jedem Jahr Beiträge zu Python, PyQGIS und neuen QGIS-Plugins.Die Programmierung mit Python ermöglicht es, sich eigene Werkzeuge in QGIS zu erstellen und so den Funktionsumfang von QGIS individuell zu erweitern und den eigenen Bedürfnissen anzupassen. Aber wie funktioniert das alles eigentlich und womit fängt man an? Dieser Beitrag gibt einen kurzen und verständlichen Überblick auch für alle ohne Programmier-Vorkenntnisse.

FOSSGIS 2025 in Münster: 26.-29. März 2025 : Tagungsband : Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap, p. 39

Keywords

Python (computer program language), article, Datenbank, Erweiterung, Programmierung, Daten, 520, computer programming, Datenprozessierung, data, data -- database -- data processing -- Python (computer program language) -- computer programming, Daten -- Datenbank -- Datenprozessierung -- Plug in -- Erweiterung -- Python <Programmiersprache> -- PyQGIS -- Programmierung, PyQGIS, Plug in, database, data processing, Python, ddc: ddc:520

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green