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[ Source: gdal  ]

Package: python3-gdal (2.4.1~rc1+dfsg-1~exp1)

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Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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 GDAL/OGR library.

Tags: Software Development: Python Development, Libraries, Implemented in: implemented-in::c, implemented-in::c++, Python, Role: Development Library

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Architecture Package Size Installed Size Files
amd64 588.5 kB2,356.0 kB [list of files]
arm64 561.4 kB2,329.0 kB [list of files]
armel 525.9 kB2,113.0 kB [list of files]
armhf 538.7 kB1,857.0 kB [list of files]
i386 568.5 kB2,230.0 kB [list of files]
mips 512.4 kB2,412.0 kB [list of files]
mips64el 519.1 kB2,524.0 kB [list of files]
mipsel 519.8 kB2,412.0 kB [list of files]
ppc64el 576.9 kB2,842.0 kB [list of files]
riscv64 (unofficial port) 566.7 kB2,119.0 kB [list of files]
s390x 549.8 kB2,369.0 kB [list of files]
sparc64 (unofficial port) 516.6 kB2,381.0 kB [list of files]
x32 (unofficial port) 582.8 kB2,203.0 kB [list of files]