apophenia 1.0+ds-8build1 source package in Ubuntu

Changelog

apophenia (1.0+ds-8build1) groovy; urgency=medium

  * No-change rebuild against libgsl25

 -- Graham Inggs <email address hidden>  Thu, 07 May 2020 21:53:53 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Groovy
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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apophenia_1.0+ds.orig.tar.gz 514.2 KiB 27b8f22c92be8a2ae33af2e7bdad3342bc880c25f0ebd6531c0e585549dd27a1
apophenia_1.0+ds-8build1.debian.tar.xz 13.0 KiB 747398afb15e2774ccf3cc95811756564c334aaaa0313809ab11a04c2aa157df
apophenia_1.0+ds-8build1.dsc 2.4 KiB 11a3134e490a7e3ab58090a62da5015a38e1e963a288ba82f657878f5782107d

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Binary packages built by this source

apophenia-bin: 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.

apophenia-bin-dbgsym: debug symbols for apophenia-bin
apophenia-doc: Apophenia Statistical C Library -- reference manual

 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 the reference manual for the Apophenia
 Statistical C Library; it also contains examples.

libapophenia2: Apophenia Statistical C Library -- library 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 the shared libraries required to run programs
 compiled against the Apophenia Statistical C Library. To compile your
 own programs you also need to install the libapophenia2-dev package.

libapophenia2-dbgsym: debug symbols for libapophenia2
libapophenia2-dev: Apophenia Statistical C Library -- development 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 contains the header files, static libraries and symbolic
 links that developers using the Apophenia Statistical C Library will
 need.