CDC Data Hub Lifecycle, Analysis and Visualization Accelerator (LAVA) makes building and deploying data products faster and more reliable through standardizing public health data processes and technology.

Navigation

Verified details

These details have been verified by PyPI
Project links
Maintainers
Avatar for jcbowyer from gravatar.com jcbowyer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: John Bowyer
  • Requires: Python <3.13, >=3.10
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Project links
Maintainers
Avatar for jcbowyer from gravatar.com jcbowyer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: John Bowyer
  • Requires: Python <3.13, >=3.10
Classifiers

Release history Release notifications | RSS feed

202402.0.59 yanked

Reason this release was yanked:

incorrect version number

202402.0.58 yanked

202402.0.57 yanked

202402.0.56 yanked

202402.0.55 yanked

202402.0.54 yanked

202402.0.53 yanked

202402.0.52 yanked

202402.0.51 yanked

202402.0.50 yanked

202402.0.49 yanked

202402.0.48 yanked

202402.0.47 yanked

202402.0.46 yanked

202402.0.45 yanked

202402.0.44 yanked

202402.0.43 yanked

202402.0.42 yanked

202402.0.41 yanked

202402.0.40 yanked

202402.0.39 yanked

202402.0.38 yanked

202402.0.37 yanked

202402.0.36 yanked

202402.0.35 yanked

202402.0.34 yanked

202402.0.33 yanked

202402.0.32 yanked

202402.0.29 yanked

202402.0.28 yanked

202402.0.27 yanked

202402.0.26 yanked

202402.0.25 yanked

202402.0.22 yanked

202402.0.21 yanked

202402.0.19 yanked

202401.12.1 yanked

202401.8.0 yanked

202401.7.0 yanked

1.0.20241110

1.0.20241109

1.0.20241108

1.0.20241107

1.0.20241106

This version

1.0.20241105

1.0.20241104

1.0.20241103

1.0.20241102

0.202407.5 yanked

0.202407.4 yanked

0.202407.3 yanked

0.202407.2 yanked

0.202406.8 yanked

0.202406.6 yanked

0.202406.5 yanked

0.202406.4 yanked

0.202406.3 yanked

0.202406.2 yanked

0.202405.12 yanked

0.202405.10 yanked

0.202405.9 yanked

0.202405.8 yanked

0.202405.7 yanked

0.202405.6 yanked

0.202405.5 yanked

0.202405.4 yanked

0.202405.3 yanked

0.202405.2 yanked

0.9.20241020

0.9.20241019

0.9.20241018

0.9.20241017

0.9.20241016

0.9.20241015

0.9.20241014

0.9.20241013

0.9.20241012

0.9.20241011

0.9.20241010

0.9.20241009

0.9.20241008

0.9.20241007

0.9.20241006

0.9.20241005

0.9.20241004

0.9.20241003

0.9.20241002

0.9.20240939

0.9.20240938

0.9.20240937

0.9.20240936

0.9.20240935

0.9.20240934

0.9.20240933

0.9.20240932

0.9.20240931

0.9.20240929

0.9.20240928

0.9.20240927

0.9.20240926

0.9.20240925

0.9.20240924

0.9.20240921

0.9.20240920

0.9.20240919

0.9.20240918

0.9.20240917

0.9.20240916

0.9.20240915

0.9.20240914

0.9.20240913

0.9.20240912

0.9.20240911

0.9.20240910

0.9.20240909

0.9.20240908

0.9.20240907

0.9.20240906

0.9.20240905

0.9.20240904

0.9.20240903

0.9.20240902

0.9.20240866

0.9.20240865

0.9.20240864

0.9.20240863

0.9.20240862

0.9.20240861

0.9.20240860

0.9.20240859

0.9.20240858

0.9.20240857

0.9.20240852

0.9.20240851

0.9.20240850

0.9.20240849

0.9.20240848

0.9.20240847

0.9.20240846

0.9.20240845

0.9.20240844

0.9.20240843

0.9.20240842

0.9.20240841

0.9.20240840

0.9.20240839

0.9.20240838

0.9.20240837

0.9.20240836

0.9.20240835

0.9.20240834

0.9.20240833

0.9.20240832

0.9.20240830

0.9.20240829

0.9.20240828

0.9.20240827

0.9.20240826

0.9.20240825

0.9.20240824

0.9.20240823

0.9.20240822

0.9.20240821

0.9.20240820

0.9.20240819

0.9.20240818

0.9.20240817

0.9.20240816

0.9.20240815

0.9.20240814

0.9.20240813

0.9.20240812

0.9.20240811

0.9.20240810

0.9.20240809

0.9.20240808

0.9.20240807

0.9.20240806

0.9.20240805

0.9.20240804

0.9.20240803

0.8.20240827

0.8.20240826

0.8.20240825

0.8.20240824

0.8.20240823

0.8.20240822

0.8.20240821

0.8.20240820

0.8.20240819

0.8.20240818

0.8.20240817

0.8.20240816

0.8.20240815

0.8.20240814

0.8.20240813

0.8.20240812

0.8.20240811

0.8.20240810

0.8.20240809

0.8.20240808

0.8.20240807

0.8.20240806

0.8.20240805

0.8.20240804

0.8.20240803

0.8.20240802

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cdh_lava_core-1.0.20241105.tar.gz (24.0 MB view details)

Uploaded Source

Built Distribution

cdh_lava_core-1.0.20241105-py3-none-any.whl (24.3 MB view details)

Uploaded Python 3

File details

Details for the file cdh_lava_core-1.0.20241105.tar.gz.

File metadata

  • Download URL: cdh_lava_core-1.0.20241105.tar.gz
  • Upload date:
  • Size: 24.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.0 CPython/3.10.15 Linux/6.5.0-1025-azure

File hashes

Hashes for cdh_lava_core-1.0.20241105.tar.gz
Algorithm Hash digest
SHA256 e09926aef85fc54f8aea839f9e529df2dbb6088a36b86c43847fe87a6793bd8c
MD5 8ce915dfc098bbab8f7279ea06a4c91d
BLAKE2b-256 ecd5b77c4099d8f2eff766b1c826635e6291a2ac4fce85112cc0abeca59d2508

See more details on using hashes here.

File details

Details for the file cdh_lava_core-1.0.20241105-py3-none-any.whl.

File metadata

File hashes

Hashes for cdh_lava_core-1.0.20241105-py3-none-any.whl
Algorithm Hash digest
SHA256 11af8382931ada6cef23f5337665677daa4466841a21837d964ad409e5b561cb
MD5 7ae0e7f3d1ce52c75f9848e846f79968
BLAKE2b-256 5ccba1748b41bc5559153feef5f2426e8f32b7a340c23fbdfc48a15c0468253b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page