Key | Value |
---|---|
FileName | ./usr/share/doc/python-gdal/examples/load2odbc.py.gz |
FileSize | 2109 |
MD5 | A362E38E47C55F5B3985DDBAB7136B1D |
SHA-1 | 22CBA964C759A5DC17A6B84F7A22E2E50A176389 |
SHA-256 | 8B3AF2E2452BC291DF5C8275703DE34B8EF91FC9B8EFF9850227EB4FBC972D8E |
SSDEEP | 48:XK3jiBiruhmT0Vv+pvP2xhOBx2J/5A03pZx7eaz9:aBruODhPdBx2pVpmw |
TLSH | T198414C08187A61032529D11C8CBC38F5FD83743D1BB337E2039EE718E58953AD24875A |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 412920 |
MD5 | F5A21D20A9E4E7DB6642F36AD5DA1EEF |
PackageDescription | Python 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 bindings for GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | 6673D5C636223E80FD31750CF9ECE9F20E70B224 |
SHA-256 | 157D3CB70A390DE552B215BA185FF5E239BA6B3279636278E1EA11102791BE9B |
Key | Value |
---|---|
FileSize | 423434 |
MD5 | E44C0518B9E0A3776F6056232474752A |
PackageDescription | Python 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 bindings for GDAL/OGR library and a set of additional command line tools. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-gdal |
PackageSection | python |
PackageVersion | 1.11.3+dfsg-3build2 |
SHA-1 | C3A8B10E1FBE948C846D560CFB5C787D8BED2C42 |
SHA-256 | 50F33C9CD2B8F9170DF9F703AAB9AD6FFB9D4F6A9C7694F4F53B8F8B68B96A8E |