Skip to main content

Meta package with dependencies for Python Charmers training courses

Project description

Python Charmers meta-package

This is a meta-package for Python Charmers training participants. This depends on many packages used in Python Charmers training courses.

This package is intended to be used from a Python Charmers Hub in the cloud like https://cpuhub.pythoncharmers.com.

Installation

Install it like this:

pip install pythoncharmers-meta

or, if you have uv, this will be much faster:

uv pip install pythoncharmers-meta

Optional packages (extras)

The following sets of optional packages ("extras") are available:

  • analytics: data analytics
  • db: packages for interfacing with various databases
  • gis: geospatial analysis
  • ml: "classical" machine learning
  • dl: deep learning (a strict superset of [ml])
  • net: network engineering, concurrency
  • scieng: scientific and engineering computing
  • testing: testing, linting, doc generation
  • web: web dev

This extra helps with building course notes:

  • docs

You can add them like this:

uv pip install "pythoncharmers-meta[gis, ml]" --reinstall

Cutting a new release

uv build
uvx twine upload dist/*

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

pythoncharmers_meta-0.7.13.tar.gz (518.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pythoncharmers_meta-0.7.13-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file pythoncharmers_meta-0.7.13.tar.gz.

File metadata

  • Download URL: pythoncharmers_meta-0.7.13.tar.gz
  • Upload date:
  • Size: 518.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pythoncharmers_meta-0.7.13.tar.gz
Algorithm Hash digest
SHA256 4a71a975bc044e388613d1492bb6cf43af95536ecf3dc648e71299f1f9e09d90
MD5 9fffce0dc0be115204b93310b4081385
BLAKE2b-256 6493ce7b8068637ec6701559a1e1d333ed91d5abd796a952488317ec3115da82

See more details on using hashes here.

File details

Details for the file pythoncharmers_meta-0.7.13-py3-none-any.whl.

File metadata

File hashes

Hashes for pythoncharmers_meta-0.7.13-py3-none-any.whl
Algorithm Hash digest
SHA256 096e6ee56eb1fd14945758535c36fd6e06a7c4d03eab78c782b1a10bb0475a3e
MD5 6aabc7f49a67cee70fb2501cb4bb0e70
BLAKE2b-256 cbeb39388ff540bab0094ef1ecda9311c5df00e8ec4ddb6192519e6dbdde36bb

See more details on using hashes here.

Supported by

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