How to Install and Uninstall python3-gdal Package on Kali Linux
Last updated: December 23,2024
1. Install "python3-gdal" package
Please follow the step by step instructions below to install python3-gdal on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
python3-gdal
Copied
2. Uninstall "python3-gdal" package
Please follow the steps below to uninstall python3-gdal on Kali Linux:
$
sudo apt remove
python3-gdal
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-gdal package on Kali Linux
Package: python3-gdal
Source: gdal
Version: 3.8.4+dfsg-1
Installed-Size: 7282
Maintainer: Debian GIS Project
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libgdal34 (>= 3.8.0), libstdc++6 (>= 13.1)
Suggests: gdal-bin
Size: 1273872
SHA256: 9afcfd2bb3c1b62f651c8eca597a00fef083b9807cf7f4c9c451c8f1ea533a05
SHA1: 53e4c04955f5fbca0e5c2e2fc7f169cf70bdc758
MD5sum: 3d35e48fbd60eafa282dc2cdd7c5c0ec
Description: 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.
Description-md5:
Homepage: http://www.gdal.org/
Tag: devel::lang:python, devel::library, implemented-in::c,
implemented-in::c++, implemented-in::python, role::devel-lib
Section: python
Priority: optional
Filename: pool/main/g/gdal/python3-gdal_3.8.4+dfsg-1_amd64.deb
Source: gdal
Version: 3.8.4+dfsg-1
Installed-Size: 7282
Maintainer: Debian GIS Project
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libgdal34 (>= 3.8.0), libstdc++6 (>= 13.1)
Suggests: gdal-bin
Size: 1273872
SHA256: 9afcfd2bb3c1b62f651c8eca597a00fef083b9807cf7f4c9c451c8f1ea533a05
SHA1: 53e4c04955f5fbca0e5c2e2fc7f169cf70bdc758
MD5sum: 3d35e48fbd60eafa282dc2cdd7c5c0ec
Description: 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.
Description-md5:
Homepage: http://www.gdal.org/
Tag: devel::lang:python, devel::library, implemented-in::c,
implemented-in::c++, implemented-in::python, role::devel-lib
Section: python
Priority: optional
Filename: pool/main/g/gdal/python3-gdal_3.8.4+dfsg-1_amd64.deb