How to Install and Uninstall apophenia-bin Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 23,2024
1. Install "apophenia-bin" package
This guide let you learn how to install apophenia-bin on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
apophenia-bin
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2. Uninstall "apophenia-bin" package
In this section, we are going to explain the necessary steps to uninstall apophenia-bin on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
apophenia-bin
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the apophenia-bin package on Ubuntu 21.10 (Impish Indri)
Package: apophenia-bin
Architecture: amd64
Version: 1.0+ds-8build1
Multi-Arch: foreign
Priority: optional
Section: universe/math
Source: apophenia
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 68
Depends: libapophenia2 (= 1.0+ds-8build1), libc6 (>= 2.8), libgsl25 (>= 2.6)
Suggests: sqlite3
Filename: pool/universe/a/apophenia/apophenia-bin_1.0+ds-8build1_amd64.deb
Size: 14116
MD5sum: 634d31c6d935775c50f2d73a3fb668e9
SHA1: 2dc84b6ae706c95cb0e44229961fe49817900f63
SHA256: 9d6d200cf00f9d6f67b2ebbb9d58d94171331f2d579301629de7b698b03a583f
SHA512: 82a8a0d939ef571263d6e427b501bea4be7e8e60d9feac99641886982701db39f6302a6a6ae6399e157fa23d91f6ba2015ec62edf9799f7e50ae852637768747
Homepage: http://apophenia.info/
Description-en: Apophenia Statistical C Library -- binary package
The Apophenia Statistical C Library is an open source C library for
working with data sets and statistical models. It provides functions
on the same level as those of the typical stats packages (such as OLS,
probit, or singular value decomposition) but gives the user more
flexibility to be creative in model-building.
.
Apophenia is meant to scale well, to comfortably work with gigabyte
data sets, million-step simulations, or computationally-intensive
agent-based models.
.
Apophenia builds upon the GNU Scientific and SQLite libraries,
MySQL/mariaDB is also supported. The core functions are written
in C, but experience has shown them to be easy to bind in Python,
Julia, Perl, Ruby, etc. The source code is distributed under the
GNU General Public License version 2 (GPL2).
.
This package provides several command line utility examples.
Description-md5: 26970e135bf657cd5eb8fa95a3c9aad1
Architecture: amd64
Version: 1.0+ds-8build1
Multi-Arch: foreign
Priority: optional
Section: universe/math
Source: apophenia
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 68
Depends: libapophenia2 (= 1.0+ds-8build1), libc6 (>= 2.8), libgsl25 (>= 2.6)
Suggests: sqlite3
Filename: pool/universe/a/apophenia/apophenia-bin_1.0+ds-8build1_amd64.deb
Size: 14116
MD5sum: 634d31c6d935775c50f2d73a3fb668e9
SHA1: 2dc84b6ae706c95cb0e44229961fe49817900f63
SHA256: 9d6d200cf00f9d6f67b2ebbb9d58d94171331f2d579301629de7b698b03a583f
SHA512: 82a8a0d939ef571263d6e427b501bea4be7e8e60d9feac99641886982701db39f6302a6a6ae6399e157fa23d91f6ba2015ec62edf9799f7e50ae852637768747
Homepage: http://apophenia.info/
Description-en: Apophenia Statistical C Library -- binary package
The Apophenia Statistical C Library is an open source C library for
working with data sets and statistical models. It provides functions
on the same level as those of the typical stats packages (such as OLS,
probit, or singular value decomposition) but gives the user more
flexibility to be creative in model-building.
.
Apophenia is meant to scale well, to comfortably work with gigabyte
data sets, million-step simulations, or computationally-intensive
agent-based models.
.
Apophenia builds upon the GNU Scientific and SQLite libraries,
MySQL/mariaDB is also supported. The core functions are written
in C, but experience has shown them to be easy to bind in Python,
Julia, Perl, Ruby, etc. The source code is distributed under the
GNU General Public License version 2 (GPL2).
.
This package provides several command line utility examples.
Description-md5: 26970e135bf657cd5eb8fa95a3c9aad1