Skip to main content

Mathematical algorithms and tools to use within CoMet toolkit.

Project description

comet_maths

Mathematical algorithms and tools to use within CoMet toolkit.

Usage

Virtual environment

It’s always recommended to make a virtual environment for each of your python projects. Use your preferred virtual environment manager if you want and activate it for the rest of these commands.

If you are using conda you can create and activate your environment using:

conda create -n yourenvname -k python=3.x

followed by:

conda activate yourenvname (activate environment in windows)

or:

source activate yourenvname (activate environment on a UNIX operating system)

You can also use venv. If you’re unfamiliar, read https://realpython.com/python-virtual-environments-a-primer/. You can set one up using:

python -m venv venv

and then activate it on Windows by using venv/Scripts/activate.

Installation

Install your package and its dependancies by using:

pip install -e .

Development

For developing the package, you’ll want to install the pre-commit hooks as well. Type:

pre-commit install

Note that from now on when you commit, black will check your code for styling errors. If it finds any it will correct them, but the commit will be aborted. This is so that you can check its work before you continue. If you’re happy, just commit again.

Running the test suite is possible by running pytest.

Compatibility

Licence

Authors

comet_maths was written by Pieter De Vis.

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

comet_maths-1.0.8.tar.gz (46.7 kB view details)

Uploaded Source

Built Distribution

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

comet_maths-1.0.8-py3-none-any.whl (33.8 kB view details)

Uploaded Python 3

File details

Details for the file comet_maths-1.0.8.tar.gz.

File metadata

  • Download URL: comet_maths-1.0.8.tar.gz
  • Upload date:
  • Size: 46.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for comet_maths-1.0.8.tar.gz
Algorithm Hash digest
SHA256 d8c245e45b62d1be79c209257018110af0c866d60016c95e0bf88b940d618e4c
MD5 2ef3d82bfe5397f3602dc53f3b8263e1
BLAKE2b-256 fb48feda1a53693f790b23e9e80550d7a269b9c1d2e01d605944e6a3b02f7ad0

See more details on using hashes here.

File details

Details for the file comet_maths-1.0.8-py3-none-any.whl.

File metadata

  • Download URL: comet_maths-1.0.8-py3-none-any.whl
  • Upload date:
  • Size: 33.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for comet_maths-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 0efc82617a6361d0d3cd2c358ed50449eceecaa77d5422b2fa673296d0227fdb
MD5 be60af37878e1a82dfe2399c59a16236
BLAKE2b-256 c3aacb0d0347f95ded03749136f2955c954d9e6a703687505337842507c417cb

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