How to Install and Uninstall python3-emcee Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 26,2024
1. Install "python3-emcee" package
Learn how to install python3-emcee on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-emcee
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2. Uninstall "python3-emcee" package
This is a short guide on how to uninstall python3-emcee on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-emcee
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-emcee package on Ubuntu 21.10 (Impish Indri)
Package: python3-emcee
Architecture: all
Version: 3.0.2-2
Priority: optional
Section: universe/python
Source: emcee
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 146
Depends: python3-numpy, python3:any
Filename: pool/universe/e/emcee/python3-emcee_3.0.2-2_all.deb
Size: 27284
MD5sum: 841c69e63ac761e7318305521af6e1d8
SHA1: 006ff24ce3b43a21dc9c55bd791e81c55650b6a1
SHA256: 02b993a48f195d43cfc444060880a87c4a62d68ea343a816f53ece0fbc0f1482
SHA512: bcae0d482ce9c5dbea95d55a0a0a1fd4ca0837a98ac8d91f43a3c911beeb7cc45cbd34606d641c4dc1e4d59c74fc384f830d86696aba2a70d5b537ec0b5417c9
Homepage: https://emcee.readthedocs.io
Description-en: Affine-invariant ensemble MCMC sampling for Python 3
emcee is an extensible, pure-Python implementation of Goodman &
Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble
sampler. It's designed for Bayesian parameter estimation.
Description-md5: 3837b34037cc1385d92e192c70fd565b
Architecture: all
Version: 3.0.2-2
Priority: optional
Section: universe/python
Source: emcee
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 146
Depends: python3-numpy, python3:any
Filename: pool/universe/e/emcee/python3-emcee_3.0.2-2_all.deb
Size: 27284
MD5sum: 841c69e63ac761e7318305521af6e1d8
SHA1: 006ff24ce3b43a21dc9c55bd791e81c55650b6a1
SHA256: 02b993a48f195d43cfc444060880a87c4a62d68ea343a816f53ece0fbc0f1482
SHA512: bcae0d482ce9c5dbea95d55a0a0a1fd4ca0837a98ac8d91f43a3c911beeb7cc45cbd34606d641c4dc1e4d59c74fc384f830d86696aba2a70d5b537ec0b5417c9
Homepage: https://emcee.readthedocs.io
Description-en: Affine-invariant ensemble MCMC sampling for Python 3
emcee is an extensible, pure-Python implementation of Goodman &
Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble
sampler. It's designed for Bayesian parameter estimation.
Description-md5: 3837b34037cc1385d92e192c70fd565b