bobleesj.release 0.0.19rc1

Python package for doing science.

Python package for doing science.

• LONGER DESCRIPTION HERE

For more information about the bobleesj.release library, please consult our online documentation.

Citation

If you use bobleesj.release in a scientific publication, we would like you to cite this package as

bobleesj.release Package, https://github.com/bobleesj-test-org/bobleesj.release

Installation

The preferred method is to use Miniconda Python and install from the “conda-forge” channel of Conda packages.

To add “conda-forge” to the conda channels, run the following in a terminal.

conda config --add channels conda-forge

We want to install our packages in a suitable conda environment. The following creates and activates a new environment named bobleesj.release_env

conda create -n bobleesj.release_env python=3
conda activate bobleesj.release_env

Then, to fully install bobleesj.release in our active environment, run

conda install bobleesj.release

Another option is to use pip to download and install the latest release from Python Package Index. To install using pip into your bobleesj.release_env environment, type

pip install bobleesj.release

If you prefer to install from sources, after installing the dependencies, obtain the source archive from GitHub. Once installed, cd into your bobleesj.release directory and run the following

pip install .

Support and Contribute

Diffpy user group is the discussion forum for general questions and discussions about the use of bobleesj.release. Please join the bobleesj.release users community by joining the Google group. The bobleesj.release project welcomes your expertise and enthusiasm!

If you see a bug or want to request a feature, please report it as an issue and/or submit a fix as a PR. You can also post it to the Diffpy user group.

Feel free to fork the project and contribute. To install bobleesj.release in a development mode, with its sources being directly used by Python rather than copied to a package directory, use the following in the root directory

pip install -e .

To ensure code quality and to prevent accidental commits into the default branch, please set up the use of our pre-commit hooks.

1. Install pre-commit in your working environment by running conda install pre-commit.

2. Initialize pre-commit (one time only) pre-commit install.

Thereafter your code will be linted by black and isort and checked against flake8 before you can commit. If it fails by black or isort, just rerun and it should pass (black and isort will modify the files so should pass after they are modified). If the flake8 test fails please see the error messages and fix them manually before trying to commit again.

Improvements and fixes are always appreciated.

Before contribuing, please read our Code of Conduct.

Contact

For more information on bobleesj.release please visit the project web-page or email Prof. Simon Billinge at [e-mail].