How to Install and Uninstall python3-numpy-dbg Package on Ubuntu 20.04 LTS (Focal Fossa)

Last updated: May 19,2024

1. Install "python3-numpy-dbg" package

Please follow the guidance below to install python3-numpy-dbg on Ubuntu 20.04 LTS (Focal Fossa)

$ sudo apt update $ sudo apt install python3-numpy-dbg

2. Uninstall "python3-numpy-dbg" package

Please follow the steps below to uninstall python3-numpy-dbg on Ubuntu 20.04 LTS (Focal Fossa):

$ sudo apt remove python3-numpy-dbg $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-numpy-dbg package on Ubuntu 20.04 LTS (Focal Fossa)

Package: python3-numpy-dbg
Architecture: amd64
Version: 1:1.17.4-5ubuntu3.1
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: 60498
Depends: python3-dbg, python3-numpy (= 1:1.17.4-5ubuntu3.1), libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Filename: pool/main/n/numpy/python3-numpy-dbg_1.17.4-5ubuntu3.1_amd64.deb
Size: 25237724
MD5sum: f784d11124c4f14761f104685b582ccc
SHA1: 4e32cf0c611cbcfe27b735db7f7578a8f21400d0
SHA256: a19a63479b3d27c211408a966b99e93e1e9cdafd1823dfd1d291614090bd4e77
SHA512: c75e32ee5ba7f3d563be5c6394fc5f2696218c9a5d93a4376b8f27d0b0f6eef9bbfd85d421d610ce4329bed637b72e5c804e74165ed841871453a28689911f3d
Homepage: http://www.numpy.org/
Description: Fast array facility to the Python 3 language (debug extension)
Description-md5: 874df4ab0f921eb452ea913224b6cf17
Build-Ids: 0026caa4ff29761ca41d4dab5c2979adeab032a2 073ba17cf1cb1e922c076bf6c0ed9098dd6b6661 0cf916d76bfb5014daa1ec263e2e1e37192a9a68 10c8b14857dd912501ac03fa37710e4cc4f27bff 1126d1f779255909f9ec30b678e50e7b7c8729c1 1947106c3bfb6d4ce83ebd70bdf0dd98eb79e86d 23cf7fa857b033e6c922313d858aa43f9f34cdd9 26ac76c0d1b15485f37811ac70e03fecc49cb118 28af1f2d0205e3796c53cdb602946dd1f57cab29 344f39636b4c33529b3d9fbc44ca4e80bc6ff1ae 34a1d4e3caf18377d8497d97232d4a1cd64302cb 397cdb2dd57be9cae3683bbed91a0df727bb23c8 47aa9c550619d35bd2a8df6350753988de3cc4d5 5594e308dd1c478eedd1f63c1c638c71ad911873 56eead0fa90bdcd9b558729122f593132eecf5ba 59c75c4b4ad7306f78294319d52faec0b1015904 60db54996139bbc20b6ffa7b7e95102b7ed0c637 645ed5cd08fbdf1a0c57eece6ad842f6b49a3a0a 65395ef3c105fbad9609acd54432d03b1c092c1a 6f237148321be595a521ac332352e1bf6c725279 6f71442c07095cb2ced8b7f85e1dddd80f021308 75f776395524cced91a345f649ef157855061928 81faea03935b7ca4583e6bfc01a0c8fe479d2791 81ff364c65bbe0a43eb68770a2d4d19f45235604 8664687f205e869ccff6778eb4ad885fdb6eee96 92498e416822ba178047b9117ccb4e5c9bb9cafe 9412e2140592d1e512cbaed6da8a1591e952083f 98226f6b74ab1d4fa9617914eabd9274b10fbafe ab01ffd02691299af04148215dddef8826a65a5c b478a16c8c14d41cdf36ee24006cfceec5a0119b bc9bd0803eb559d019c0ba642d8b8c200f3d2ecc c2ce16d7e65d32d9d5db43864d7c800375a25b83 c5e06bb3706bcb3c58a5ae316857ffeb4f45a077 c7e5b27720008a739a9065dc69ab7123e7a43cdd f429f8c64e915f04cd12e38445b1b1c2db7f9de6 f59dc5e3f5e26ee7d667f0cb82124d75703fd807 f945a2e0cc0a77b88ffd11a0e9c38a759e7855b4 ffe8822339327c74f0fcaf7573b93e068730ea5b

Package: python3-numpy-dbg
Architecture: amd64
Version: 1:1.17.4-5ubuntu3
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: 60517
Depends: python3-dbg, python3-numpy (= 1:1.17.4-5ubuntu3), libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Filename: pool/main/n/numpy/python3-numpy-dbg_1.17.4-5ubuntu3_amd64.deb
Size: 25246360
MD5sum: 5fec0ac82d549f14e0975aaa012b2411
SHA1: 99a13e9466ebb12b00b777bf633c950b212738a3
SHA256: 9118f8f81ec0b0a8d2b873596d0b39b38ed56b13bfad0b24522e555dc27b596f
Homepage: http://www.numpy.org/
Description: Fast array facility to the Python 3 language (debug extension)
Description-md5: 874df4ab0f921eb452ea913224b6cf17
Build-Ids: 04b8a320f2b21986f7b9a5a96e32c8ed51ebeb0f 1d83907070f8129013fd7be7fa75d92bb13bdf33 1ead9e5c6586c7ac91cf6fa39aeb10ea5bd8d6bc 217855d72fc0ae5c8cb7d3bcd313653d76196ae9 2435c5fc8b390a419d4ad9565bf5ccecee14fd4a 2b23c6d3d5bd860b2de258ef4dda5a1a9c5cb6ca 2ccabb5fbe0374c716846dd42334eab1d3b6f119 426f48cf65d0aad4b25058039dd6f047cc154e35 46715b3d166d80a3ad38b2a728676ec70917873d 49a137cd9cce9abe9f67372f7af2b85953812074 59d57e2d37cc3fa07df2ed30f3a55389242162b5 5a8d828ecc72495dcafe2438cf20315138e4b7e3 5b8837a3766a3d1baa9bd53eb3324da4b4268312 5d9330860b7c625ee3732f5889183bda99e7eab7 64570d7baeca719ee515d5c30274f953097be33a 6856eaef01e0a17c1b545796c3497d9dd43eed23 7dfcc70d89111aac30e6d8c208c2649c473f096f 7eee5c3496d5364861015560eed44d0cda3eccb6 7f717abb5fd02dfbfd13e0f86415ea7fe639b694 82009e85ac6edb181f2a0c4e78832debb73f2b3c 8c3bffc15171fdec8dab24b913ddeedab691ba2b a4aaebbac102c48827a1200a7223551d32f145fd b6b42e8145bfb3a187fe2e77cbc760a45882838b b966b7b432755ceee2ca752f89a3e411a407233b c130794790e3c69260224734dfb604c4ffbad37e c5950aa7be7e0966e56d23d6017fe919c9768a26 d33f3dbc42223098dad384dfe404c73f6a47cc00 d592e462d1a3c3576d94cea38734a4808e0ed4dd d6cb81d885977645d752cac8c25259174d708a45 da945e4d56fa3afc7fa022efde2c6f507c53c9d6 dbf3e2a61ff7a74a0fdbc31386c1dab6ac6df84d de9f1fe677bee2903e0dce394c1c8a9be8d103cf e0bcf8010603b5dda9c7449f43bdd46900c30ab0 e10ea5f4fdba24f453e7c993c90087bf3059b9ff f06f55378b7189e0f9420936758f5e3cc6f66f75 f8558e17c26b952e3c0f8c42afea28392b64abc2 f8f1422a3d5bb65511c0799c80eab4b550de4ff9 ff8774ab08284953af237a42485694ea5a3306f3