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-0.22.1.tar.gz (46.0 kB view details)

Uploaded Source

Built Distribution

comet_maths-0.22.1-py3-none-any.whl (33.3 kB view details)

Uploaded Python 3

File details

Details for the file comet_maths-0.22.1.tar.gz.

File metadata

  • Download URL: comet_maths-0.22.1.tar.gz
  • Upload date:
  • Size: 46.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for comet_maths-0.22.1.tar.gz
Algorithm Hash digest
SHA256 5e79a3aded7168e74d444f4b5aa52b799a2980b8dcab99955adce6e120a8342f
MD5 c8968a6d7caefd852904a4247be8e88e
BLAKE2b-256 f79c202e6449ac26a522839efa9e1644bc64b1cbd76e63b453a0de90138932ce

See more details on using hashes here.

File details

Details for the file comet_maths-0.22.1-py3-none-any.whl.

File metadata

File hashes

Hashes for comet_maths-0.22.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dc587cfd61523c5627c3525f67a1512af3743564be24dfb69304c5de9482b8c6
MD5 0175f97a400797cdd616d157ca199363
BLAKE2b-256 b719e51b9dfb729dc3364686a715c6c708fa702d0ff3015aa39d856d4a0e3b8f

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