Let's do some Python: gdal org is great for not only the command line tools, but also for it's Python bingins. You can found great examples in the pcjericks.github.io/py-gdalogr-coo… But it can be done more pythonish way, using some libraries provided by Samuel gillies

gdaltips gdal org Samuel gillies I was trying nice experiments with the python bindings recently, trying to get around the bindings 'gotchas'. github.com/Rodrigo-NH/gda…

You can use @gdalorg @python bindings, but writing code using #GDAL is like writing C++ code using pythonish syntax - not very python. But there is #fiona library for basic vector file manipulation. pip install fiona docs: fiona.readthedocs.io/en/stable/ file: file.io/kab3EwQOQ88R

Slides of "State of GDAL" talk given last week at #FOSS4G2022 available at download.osgeo.org/gdal/presentat…

State of PDAL talk from FOSS4G2022 - Slides: tinyurl.com/pdal2022

Big thanks for promoting @python and #geospatial 🐍🗺️

The data source behaves like list of features. You need just number of features? Simply use `len()` function

You can also loop through all features using simple `for` loop. #fiona converts input featurs in to the GeoJSON structure, so accessing it's properties is easy feature["properties"]["name"]

GDAL 3.5.2 release candidate available for your testing: lists.osgeo.org/pipermail/gdal…

You can also reach to feature of certain index using standard Python list indexing

Big push for the #MapServer !

.MappingGIS 🚀🌍 En este artículo te presentamos las 30 aplicaciones #GIS #OpenSource que debes de conocer mappinggis.com/2022/07/aplica…

You have a look at this great tutorial about @gdalorg tools courses.spatialthoughts.com/gdal-tools.html Put together by Ujaval Gandhi Ujaval Gandhi

GDAL 3.6.1 is released: lists.osgeo.org/pipermail/gdal… . Users of 3.6.0 *should* migrate to 3.6.1 to avoid a potential corruption of the spatial index of GeoPackage files generated by 3.6.0

My "Mastering #GDAL Tools" course is now available on YouTube! This course is the result of my 20 years of experience processing large volumes of imagery and building data pipelines. Check out the playlist at youtube.com/playlist?list=… . More in the thread below (1/n)