Skip to main content

Extract weekly TidyTuesday Data/Readme

Project description

TidyTuesdayPy

A Python library to download TidyTuesday data, inspired by the {tidytuesdayR} package for R.

:warning: This package is currently under development

Get Started

Installing

The easiest way to install tidytuesdaypy is via pip:

pip install tidytuesdaypy

Deep Dive

Contributing

  1. Clone this repository git clone git@github.com:alwinw/tidytuesdaypy.git
  2. Install the development version pip install -v -e .[<extras>] (-e needs pip >= 22.0 for pyproject.toml) or poetry install --extras "<extras>"
  3. Make your changes and commit using commitizen and ensure pre-commit is active
  4. When ready, bump the version and run poetry build -v. If deploying, run poetry publish --build -v

Acknowledgements

This package is heavily inspired by {tidytuesdayR}. It would not be possible without R4DS and of course tidytuesday

Project details


Download files

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

Source Distribution

tidytuesdaypy-0.1.0.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

tidytuesdaypy-0.1.0-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file tidytuesdaypy-0.1.0.tar.gz.

File metadata

  • Download URL: tidytuesdaypy-0.1.0.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.7.11 Windows/10

File hashes

Hashes for tidytuesdaypy-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3c4718f4e0d6202f1763afb2b2703fefb8d22b8074f2bb200a2e1d4563862bba
MD5 d7aaadb7d7f95521ef92d6cdcff4df21
BLAKE2b-256 cf1910415b1c06ed3825fc587ed965b3107b332b1a0c393277e592b50da28fdd

See more details on using hashes here.

File details

Details for the file tidytuesdaypy-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: tidytuesdaypy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.7.11 Windows/10

File hashes

Hashes for tidytuesdaypy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 63b2db717be10abd38d28ddb2d158ed84d69d9dbc27465338f3925849e0de0e9
MD5 2e5db294890c9aa1c4612b233b18a19d
BLAKE2b-256 18cfcedf39065ebe90dbc7f3f03e074e7cbca0f7a43f31e337a8937d6c02c408

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