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Copy file name to clipboardExpand all lines: CONTRIBUTING.md
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### C. Merging your changes with PyBOP
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10.[Test your code!](#testing)
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12. If you added a major new feature, perhaps it should be showcased in an [example notebook](#example-notebooks).
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12. If you added a major new feature, perhaps it should be showcased in an [example notebook](https://github.com/pybop-team/PyBOP/tree/develop/examples/notebooks).
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13. If you've added new functionality, please add additional tests to ensure ample code coverage in PyBOP.
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13. When you feel your code is finished, or at least warrants serious discussion, create a [pull request](https://help.github.com/articles/about-pull-requests/) (PR) on [PyBOP's GitHub page](https://github.com/pybop-team/PyBOP).
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14. Once a PR has been created, it will be reviewed by any member of the community. Changes might be suggested which you can make by simply adding new commits to the branch. When everything's finished, someone with the right GitHub permissions will merge your changes into PyBOP main repository.
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pyproject.toml
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```
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Note that this file must be kept in sync with the version number in [pybop/**init**.py](https://github.com/pybop-team/PyBOP/blob/develop/pybop/__init__.py).
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### Continuous Integration using GitHub actions
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Each change pushed to the PyBOP GitHub repository will trigger the test and benchmark suites to be run, using [GitHub actions](https://github.com/features/actions).
Welcome to PyBOP, a Python package dedicated to the optimization and parameterization of battery models. PyBOP is designed to streamline your workflow, whether you are conducting academic research, working in industry, or simply interested in battery technology and modelling.
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Welcome to PyBOP, a Python package dedicated to the optimisation and parameterisation of battery models. PyBOP is designed to streamline your workflow, whether you are conducting academic research, working in industry, or simply interested in battery technology and modelling.
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Installation
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*****************************
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PyBOP is a versatile Python package designed for optimization and parameterization of battery models. Follow the instructions below to install PyBOP and set up your environment to begin utilizing its capabilities.
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PyBOP is a versatile Python package designed for optimisation and parameterisation of battery models. Follow the instructions below to install PyBOP and set up your environment to begin utilising its capabilities.
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Installing PyBOP with pip
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-------------------------
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For Developers
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--------------
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If you are installing PyBOP for development purposes, such as contributing to the project, please ensure that you follow the guidelines outlined in the `Contributing Guide <../Contributing.html>`_. It includes additional steps that might be necessary for setting up a development environment, including the installation of dependencies and setup of pre-commit hooks.
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If you are installing PyBOP for development purposes, such as contributing to the project, please ensure that you follow the guidelines outlined in the `Contributing Guide <Contributing.html>`_. It includes additional steps that might be necessary for setting up a development environment, including the installation of dependencies and setup of pre-commit hooks.
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Further Assistance
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------------------
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After installing PyBOP, you might want to:
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* Explore the `Quick Start Guide <quick_start.html>`_ to begin using PyBOP.
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* Check out the `API Reference <../api/index.html>`_ for detailed information on PyBOP's programming interface.
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* Check out the `API Reference <api/index.html>`_ for detailed information on PyBOP's programming interface.
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Getting Started with PyBOP
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--------------------------
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PyBOP is equipped with a series of robust tools that can help you optimize various parameters within your battery models to better match empirical data or to explore the effects of different parameters on battery behavior.
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PyBOP is equipped with a series of robust tools that can help you optimise various parameters within your battery models to better match empirical data or to explore the effects of different parameters on battery behavior.
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To begin using PyBOP:
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import pybop
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Now you're ready to utilize PyBOP's functionality in your projects!
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Now you're ready to utilise PyBOP's functionality in your projects!
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Exploring Examples
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------------------
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To help you get acquainted with PyBOP's capabilities, we provide a collection of examples that demonstrate common use cases and features of the package:
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- **Jupyter Notebooks**: Interactive notebooks that include detailed explanations alongside the live code, visualizations, and results. These are an excellent resource for learning and can be easily modified and executed to suit your needs.
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- **Jupyter Notebooks**: Interactive notebooks that include detailed explanations alongside the live code, visualisations, and results. These are an excellent resource for learning and can be easily modified and executed to suit your needs.
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- **Python Scripts**: For those who prefer working in a text editor, IDE, or for integrating into larger projects, we provide equivalent examples in plain Python script format.
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- **GitHub Issues**: Report bugs or request new features by opening an `Issue <https://github.com/pybop-team/PyBOP/issues>`_
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- **GitHub Discussions**: Post your questions or feedback on our `GitHub Discussions <https://github.com/pybop-team/PyBOP/discussions>`_
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- **Contributions**: Interested in contributing to PyBOP? Check out our `Contributing Guide <../Contributing.html>`_ for guidelines.
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- **Contributions**: Interested in contributing to PyBOP? Check out our `Contributing Guide <Contributing.html>`_ for guidelines.
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