Level 5 for scikit-package
- LONGER DESCRIPTION HERE
For more information about the scikit-zhangt20-lvl5 library, please consult our online documentation.
If you use scikit-zhangt20-lvl5 in a scientific publication, we would like you to cite this package as
scikit-zhangt20-lvl5 Package, https://github.com/TingwenZhang/scikit-zhangt20-lvl5
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 scikit-zhangt20-lvl5_env
conda create -n scikit-zhangt20-lvl5_env scikit-zhangt20-lvl5 conda activate scikit-zhangt20-lvl5_env
To confirm that the installation was successful, type
python -c "import scikit_zhangt20_lvl5; print(scikit_zhangt20_lvl5.__version__)"
The output should print the latest version displayed on the badges above.
If the above does not work, you can use pip to download and install the latest release from
Python Package Index.
To install using pip into your scikit-zhangt20-lvl5_env environment, type
pip install scikit-zhangt20-lvl5
If you prefer to install from sources, after installing the dependencies, obtain the source archive from
GitHub. Once installed, cd into your scikit-zhangt20-lvl5 directory
and run the following
pip install .
You may consult our online documentation for tutorials and API references.
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.
Feel free to fork the project and contribute. To install scikit-zhangt20-lvl5 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.
- Install pre-commit in your working environment by running
conda install pre-commit. - 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 contributing, please read our Code of Conduct.
For more information on scikit-zhangt20-lvl5 please visit the project web-page or email Tingwen Zhang at zhangt20@rpi.edu.
scikit-zhangt20-lvl5 is built and maintained with scikit-package.