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Paquet : python3-gdal (3.4.1+dfsg-1build4)

Python 3 bindings to the Geospatial Data Abstraction Library

GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS.

OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more.

This package contains Python 3 bindings for the GDAL/OGR library.

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  • dep: libc6 (>= 2.32)
    GNU C Library: Shared libraries
    un paquet virtuel est également fourni par libc6-udeb
  • dep: libgcc-s1 (>= 3.5)
    GCC support library
  • dep: libgdal30 (>= 3.4.0)
    Geospatial Data Abstraction Library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
    paquet virtuel fourni par python3-numpy
  • sug: gdal-bin
    Geospatial Data Abstraction Library - Utility programs

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