How to Install and Uninstall python3-pykdtree Package on Kali Linux
Last updated: January 11,2025
1. Install "python3-pykdtree" package
This tutorial shows how to install python3-pykdtree on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
python3-pykdtree
Copied
2. Uninstall "python3-pykdtree" package
Here is a brief guide to show you how to uninstall python3-pykdtree on Kali Linux:
$
sudo apt remove
python3-pykdtree
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-pykdtree package on Kali Linux
Package: python3-pykdtree
Source: pykdtree
Version: 1.3.11+ds-1
Installed-Size: 344
Maintainer: Debian GIS Project
Architecture: amd64
Depends: libc6 (>= 2.4), libgomp1 (>= 4.9), python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any
Size: 94160
SHA256: 8f7b847d8b7ddff227bcd84c35d35d1db475d2dd935d7a23274ab3d84addf63c
SHA1: 1b10b46fae45763ce750b9fc6e64527f1e9b170d
MD5sum: dce116f976155992e2b77dae48c80b09
Description: Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version)
pykdtree is a kd-tree implementation for fast nearest neighbour search
in Python. The aim is to be the fastest implementation around for
common use cases (low dimensions and low number of neighbours) for
both tree construction and queries.
.
The implementation is based on scipy.spatial.cKDTree and libANN by
combining the best features from both and focus on implementation
efficiency.
.
The interface is similar to that of scipy.spatial.cKDTree except only
Euclidean distance measure is supported.
.
Queries are optionally multithreaded using OpenMP.
.
This is the Python 3 version of the package.
Description-md5:
Homepage: https://github.com/storpipfugl/pykdtree
Tag: devel::lang:python, devel::library, implemented-in::c,
implemented-in::python, role::devel-lib
Section: python
Priority: optional
Filename: pool/main/p/pykdtree/python3-pykdtree_1.3.11+ds-1_amd64.deb
Source: pykdtree
Version: 1.3.11+ds-1
Installed-Size: 344
Maintainer: Debian GIS Project
Architecture: amd64
Depends: libc6 (>= 2.4), libgomp1 (>= 4.9), python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any
Size: 94160
SHA256: 8f7b847d8b7ddff227bcd84c35d35d1db475d2dd935d7a23274ab3d84addf63c
SHA1: 1b10b46fae45763ce750b9fc6e64527f1e9b170d
MD5sum: dce116f976155992e2b77dae48c80b09
Description: Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version)
pykdtree is a kd-tree implementation for fast nearest neighbour search
in Python. The aim is to be the fastest implementation around for
common use cases (low dimensions and low number of neighbours) for
both tree construction and queries.
.
The implementation is based on scipy.spatial.cKDTree and libANN by
combining the best features from both and focus on implementation
efficiency.
.
The interface is similar to that of scipy.spatial.cKDTree except only
Euclidean distance measure is supported.
.
Queries are optionally multithreaded using OpenMP.
.
This is the Python 3 version of the package.
Description-md5:
Homepage: https://github.com/storpipfugl/pykdtree
Tag: devel::lang:python, devel::library, implemented-in::c,
implemented-in::python, role::devel-lib
Section: python
Priority: optional
Filename: pool/main/p/pykdtree/python3-pykdtree_1.3.11+ds-1_amd64.deb