Ubuntu
python-raccoon package

python-raccoon 3.1.1-1 source package in Ubuntu

Changelog

python-raccoon (3.1.1-1) unstable; urgency=medium

  * New upstream version 3.1.1
  * New Maintainer (Closes: #1052685)
  * d/control:
    - Set Maintainer to Akash Doppalapudi
    - Update debhelper-compat to version 13 in Depends
    - Bump Standards-Version to 4.6.2
    - Set Rules-Requires-Root field to 'no'
    - Set Testsuite to 'autopkgtest-pkg-python'
    - Remove python3-pytest from Build-Depends since there are no tests to run
    - Remove python3-tabulate from Build-Depends since it is covered by
      {python3:Depends} of the binary package
    - Add pybuild-plugin-pyproject to Build-Depends
    - Remove python3-pkg-resources as a dependency to binary package
  * d/rules:
    - Change PYBUILD_NAME to raccoon from python-raccoon
  * d/copyright:
    - Add new maintainer in debian/* copyright stanza
    - Add Upstream-Contact
    - Add Upstream author's email in copyright stanza
  * d/watch: Bump watch file version to 4
  * d/upstream/metadata: Add upstream metadata file

 -- Akash Doppalapudi <email address hidden>  Fri, 01 Mar 2024 16:41:28 +0000

Upload details

Uploaded by:
Akash Doppalapudi
Uploaded to:
Sid
Original maintainer:
Akash Doppalapudi
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-raccoon_3.1.1-1.dsc 2.0 KiB b72e794fa3ce2751fc404d50326a464cfb26a3abfea721b3599d7596a604bea9
python-raccoon_3.1.1.orig.tar.gz 23.9 KiB a8d16fdc8671a35c9652046cb5122aa6b1b21954ccf00a654afa7d159287b7ab
python-raccoon_3.1.1-1.debian.tar.xz 2.5 KiB 784cb6dbce1f96f28f08f6187185a6cebd1816df57c78b3de9d8dfd4968f0968

Available diffs

No changes file available.

Binary packages built by this source

python3-raccoon: Python DataFrame with fast insert and appends (Python 3)

 Lightweight DataFrame and Series implementation inspired by the
 phenomenal Pandas package for the one use case where Pandas is known
 to be sub-optimal: DataFrames that grow in size by rows frequently in
 the code. Additionally Raccoon DataFrames can be parametrized to be
 sorted so that additions to the DataFrame keep the index in sorted
 order to speed inserts and retrievals.