Ubuntu
python-pyomop package

python-pyomop 4.2.0-2 source package in Ubuntu

Changelog

python-pyomop (4.2.0-2) unstable; urgency=medium

  * Team upload.
  * d/control: build-dep on setuptools-scm to fix wrong "0.0.0" version
  * Mark all of the Debian-specific patchs as not needing forwarding to
    upstream.
  * Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)

 -- Michael R. Crusoe <email address hidden>  Fri, 26 Apr 2024 14:32:43 +0200

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-pyomop_4.2.0-2.dsc 2.4 KiB 76c83c87adb8c860d4352ef2ffe4dab1dcafdc3028a8d33dfd8815c46cef8015
python-pyomop_4.2.0.orig.tar.gz 39.4 KiB f05d6fbd75737a09d22e702c7953e4f6db8a829f24fef908c20e2d9d3f4136ca
python-pyomop_4.2.0-2.debian.tar.xz 5.2 KiB 02cc9f94915a75e60f36b9c73d6c40e14508a6bea2712113cce1f53b709e57a4

Available diffs

No changes file available.

Binary packages built by this source

pyomop: OHSDI OMOP Common Data Model tools

 The OHSDI OMOP Common Data Model allows for the systematic analysis of
 healthcare observational databases. This is a Python library to use the CDM v6
 compliant databases using SQLAlchemy as the ORM. pyomop also supports
 converting query results to a pandas dataframe (see below) for use in machine
 learning pipelines.

python-pyomop-doc: OHSDI OMOP Common Data Model tools (Documentation)

 The OHSDI OMOP Common Data Model allows for the systematic analysis of
 healthcare observational databases. This is a Python library to use the CDM v6
 compliant databases using SQLAlchemy as the ORM. pyomop also supports
 converting query results to a pandas dataframe (see below) for use in machine
 learning pipelines.
 .
 This package contains the documentation.

python3-pyomop: OHSDI OMOP Common Data Model tools (Python3 version)

 The OHSDI OMOP Common Data Model allows for the systematic analysis of
 healthcare observational databases. This is a Python library to use the CDM v6
 compliant databases using SQLAlchemy as the ORM. pyomop also supports
 converting query results to a pandas dataframe (see below) for use in machine
 learning pipelines.
 .
 This package contains the Python 3 version of the library.