How to Install and Uninstall python-dm-tree-doc Package on Kali Linux
Last updated: November 23,2024
1. Install "python-dm-tree-doc" package
This tutorial shows how to install python-dm-tree-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
python-dm-tree-doc
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2. Uninstall "python-dm-tree-doc" package
Please follow the guidelines below to uninstall python-dm-tree-doc on Kali Linux:
$
sudo apt remove
python-dm-tree-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-dm-tree-doc package on Kali Linux
Package: python-dm-tree-doc
Source: dm-tree
Version: 0.1.8-3
Installed-Size: 181
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg)
Size: 21848
SHA256: bfacc91269edb9d0990eb5d99b551d1eed560a3edddf9f94d9a71d19b1a24ff1
SHA1: a7ca235ab135e97229d1fcfc76077b6ac1b26d5d
MD5sum: f604bcb1be66888aae22bc03280d05f6
Description: library for working with nested data structures (Documentation)
A library for working with nested data structures. In a way, tree generalizes
the builtin map function which only supports flat sequences, and allows one to
apply a function to each "leaf" preserving the overall structure.
.
It is backed by an optimized C++ implementation suitable for use in demanding
applications, such as machine learning models.
.
This package contains the documentation.
Description-md5:
Homepage: https://github.com/deepmind/tree
Section: doc
Priority: optional
Filename: pool/main/d/dm-tree/python-dm-tree-doc_0.1.8-3_all.deb
Source: dm-tree
Version: 0.1.8-3
Installed-Size: 181
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg)
Size: 21848
SHA256: bfacc91269edb9d0990eb5d99b551d1eed560a3edddf9f94d9a71d19b1a24ff1
SHA1: a7ca235ab135e97229d1fcfc76077b6ac1b26d5d
MD5sum: f604bcb1be66888aae22bc03280d05f6
Description: library for working with nested data structures (Documentation)
A library for working with nested data structures. In a way, tree generalizes
the builtin map function which only supports flat sequences, and allows one to
apply a function to each "leaf" preserving the overall structure.
.
It is backed by an optimized C++ implementation suitable for use in demanding
applications, such as machine learning models.
.
This package contains the documentation.
Description-md5:
Homepage: https://github.com/deepmind/tree
Section: doc
Priority: optional
Filename: pool/main/d/dm-tree/python-dm-tree-doc_0.1.8-3_all.deb