How to Install and Uninstall python-pymc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 23,2024

1. Install "python-pymc" package

Learn how to install python-pymc on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install python-pymc

2. Uninstall "python-pymc" package

Please follow the guidelines below to uninstall python-pymc on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove python-pymc $ sudo apt autoclean && sudo apt autoremove

3. Information about the python-pymc package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-pymc
Priority: extra
Section: universe/python
Installed-Size: 1906
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: amd64
Source: pymc
Version: 2.2+ds-1.1
Depends: python-matplotlib, python-nose, python-numpy (>= 1:1.8.0), python-scipy, python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3
Recommends: python-tables
Suggests: ipython, python-pydot
Filename: pool/universe/p/pymc/python-pymc_2.2+ds-1.1_amd64.deb
Size: 429616
MD5sum: 5afa8bd1601083eade5225f90008cf94
SHA1: af5ac2ab72bef00e94708efadf84bd155ad39150
SHA256: e3602f06121a3e6424ee8229c4e50d43308edf267e2fc86ff76b970e76784d5f
Description-en: Bayesian statistical models and fitting algorithms
PyMC is a Python module that implements Bayesian statistical models
and fitting algorithms, including Markov chain Monte Carlo. Its
flexibility and extensibility make it applicable to a large suite of
problems. Along with core sampling functionality, PyMC includes
methods for summarizing output, plotting, goodness-of-fit and
convergence diagnostics.
Description-md5: d21e7c1c61423e7c5a8461cd81a84307
Homepage: http://pymc-devs.github.com/pymc/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu

5. The same packages on other Linux Distributions