How to Install and Uninstall python3-numpy-dbg Package on Ubuntu 21.10 (Impish Indri)
Last updated: December 28,2024
1. Install "python3-numpy-dbg" package
Learn how to install python3-numpy-dbg on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-numpy-dbg
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2. Uninstall "python3-numpy-dbg" package
This is a short guide on how to uninstall python3-numpy-dbg on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-numpy-dbg
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-numpy-dbg package on Ubuntu 21.10 (Impish Indri)
Package: python3-numpy-dbg
Architecture: amd64
Version: 1:1.19.5-1ubuntu2
Multi-Arch: same
Priority: extra
Section: debug
Source: numpy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sandro Tosi
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 61525
Depends: python3-dbg, python3-numpy (= 1:1.19.5-1ubuntu2), libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Filename: pool/main/n/numpy/python3-numpy-dbg_1.19.5-1ubuntu2_amd64.deb
Size: 24888324
MD5sum: 074119bd73308300a7928d935610bdf2
SHA1: e66dd2620f1e57b125be94b56efaa06de23b16cb
SHA256: 14fa76b1740a9a2c1cd850ed68cd695ef6ac456e633a10a6569df3070da9e5f0
SHA512: c32f491d211a5f75e2fe7214db5dc4c9cdfb98f88541893488c4222c9e245c0dd22df17d7a3e7b14a68aa5401c588974733f03fec42d1fefadde02eefe963166
Homepage: http://www.numpy.org/
Description-en: Fast array facility to the Python 3 language (debug extension)
Numpy contains a powerful N-dimensional array object, sophisticated
(broadcasting) functions, tools for integrating C/C++ and Fortran
code, and useful linear algebra, Fourier transform, and random number
capabilities.
.
Numpy replaces the python-numeric and python-numarray modules which
are now deprecated and shouldn't be used except to support older
software.
.
This package contains the extension built for the Python 3 debug interpreter.
Description-md5: 874df4ab0f921eb452ea913224b6cf17
Build-Ids: 045c473fbe053adf9f10c73f006d42b0da908691 057b5415ae18607cc56991a6780336a106cd133d 1355a2275d51f6f6fd518fd0e909e05f2701c11e 149f886d0efa7ebdd09c770679b97b31736dace2 2546f1b7478f31ad4ab63502ecee413e4d49bf8e 27a768a600dc7007edb9ea251e253ff9d49c09a9 2fc4ec12708094d297f413e839c9d55af7cd3aaf 32cc7dca1b76ce9e3c7002e0058756221c25cf73 331285931c001f31e2ee1264af14a5c5191d8bb5 3a74f523956a2b1a7af1be2a5aadb53120485fc1 3a802eba37d75a52224275e192d8baf3443bd21f 408bab7ab73d0876eb3b567736da1b4d11baabf7 415cd915cb1942479e8bbfb187bf1cda90533f46 43dd1a0c7f018108644f9b5969399eeb7c0c7284 44656aa63d4fe73487959a372040306652095524 4cb5e8ddbfb24a4e9147f09ff0ceecf51de6d103 5b06559b91a4ef70954784c3acd22aadaad820fc 5c58f845dfd06a1587492dd08dcd8e84bd9dc19f 67262790ca8d00ffb91aae5ea4b91bf54f98cc6a 6d83b600b0af5a3d9e017db985b8a1309100d6b4 756baf806bbfb6b353c1ec90b61b1f3bb4944f3f 7ddb494ab9234869aa4f6ed038011387defdc6c2 7edb47e27cc7fb51099297bc9bbe24f8e1eb518b 8c4343393b486d314936bbd955f9db993116c83b 9336a5dae720722ed81c8d935afce33f9b0c638e 9da3f2540818c0f59c00e516dcd6a4123ab89533 a01ac7e2bb820545e71ec3ebef69453d6577cebe b0b91724552911d51972aab18cc3f0f117d25ab7 c5a33ecbb9cbb35fd25406c03d2fea2e5b3f3fb3 d241d54a224d15e7cd76f5b83dc4107d317c332d d2a61ccf14359becbaf9898a0d5ec2ad6e6fdade d77a65b1354a61bf859ef8c011a83836e35b51bb deb7056b2d71c90445dfce0f931b708790824338 e727e31667d764b196a0915e0c6cd716ec10f8c6 ef018dba53f9190c423d76bf278dd015e5385387 f8a58bc6eadc7af44ecd7c25ec00eb10e741b786
Architecture: amd64
Version: 1:1.19.5-1ubuntu2
Multi-Arch: same
Priority: extra
Section: debug
Source: numpy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sandro Tosi
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 61525
Depends: python3-dbg, python3-numpy (= 1:1.19.5-1ubuntu2), libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Filename: pool/main/n/numpy/python3-numpy-dbg_1.19.5-1ubuntu2_amd64.deb
Size: 24888324
MD5sum: 074119bd73308300a7928d935610bdf2
SHA1: e66dd2620f1e57b125be94b56efaa06de23b16cb
SHA256: 14fa76b1740a9a2c1cd850ed68cd695ef6ac456e633a10a6569df3070da9e5f0
SHA512: c32f491d211a5f75e2fe7214db5dc4c9cdfb98f88541893488c4222c9e245c0dd22df17d7a3e7b14a68aa5401c588974733f03fec42d1fefadde02eefe963166
Homepage: http://www.numpy.org/
Description-en: Fast array facility to the Python 3 language (debug extension)
Numpy contains a powerful N-dimensional array object, sophisticated
(broadcasting) functions, tools for integrating C/C++ and Fortran
code, and useful linear algebra, Fourier transform, and random number
capabilities.
.
Numpy replaces the python-numeric and python-numarray modules which
are now deprecated and shouldn't be used except to support older
software.
.
This package contains the extension built for the Python 3 debug interpreter.
Description-md5: 874df4ab0f921eb452ea913224b6cf17
Build-Ids: 045c473fbe053adf9f10c73f006d42b0da908691 057b5415ae18607cc56991a6780336a106cd133d 1355a2275d51f6f6fd518fd0e909e05f2701c11e 149f886d0efa7ebdd09c770679b97b31736dace2 2546f1b7478f31ad4ab63502ecee413e4d49bf8e 27a768a600dc7007edb9ea251e253ff9d49c09a9 2fc4ec12708094d297f413e839c9d55af7cd3aaf 32cc7dca1b76ce9e3c7002e0058756221c25cf73 331285931c001f31e2ee1264af14a5c5191d8bb5 3a74f523956a2b1a7af1be2a5aadb53120485fc1 3a802eba37d75a52224275e192d8baf3443bd21f 408bab7ab73d0876eb3b567736da1b4d11baabf7 415cd915cb1942479e8bbfb187bf1cda90533f46 43dd1a0c7f018108644f9b5969399eeb7c0c7284 44656aa63d4fe73487959a372040306652095524 4cb5e8ddbfb24a4e9147f09ff0ceecf51de6d103 5b06559b91a4ef70954784c3acd22aadaad820fc 5c58f845dfd06a1587492dd08dcd8e84bd9dc19f 67262790ca8d00ffb91aae5ea4b91bf54f98cc6a 6d83b600b0af5a3d9e017db985b8a1309100d6b4 756baf806bbfb6b353c1ec90b61b1f3bb4944f3f 7ddb494ab9234869aa4f6ed038011387defdc6c2 7edb47e27cc7fb51099297bc9bbe24f8e1eb518b 8c4343393b486d314936bbd955f9db993116c83b 9336a5dae720722ed81c8d935afce33f9b0c638e 9da3f2540818c0f59c00e516dcd6a4123ab89533 a01ac7e2bb820545e71ec3ebef69453d6577cebe b0b91724552911d51972aab18cc3f0f117d25ab7 c5a33ecbb9cbb35fd25406c03d2fea2e5b3f3fb3 d241d54a224d15e7cd76f5b83dc4107d317c332d d2a61ccf14359becbaf9898a0d5ec2ad6e6fdade d77a65b1354a61bf859ef8c011a83836e35b51bb deb7056b2d71c90445dfce0f931b708790824338 e727e31667d764b196a0915e0c6cd716ec10f8c6 ef018dba53f9190c423d76bf278dd015e5385387 f8a58bc6eadc7af44ecd7c25ec00eb10e741b786