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# Spaceflights Pandas Viz | ||
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## Overview | ||
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This is your new Kedro project with Kedro-Viz setup, which was generated using `kedro 0.19.3`. | ||
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Take a look at the [Kedro documentation](https://docs.kedro.org) to get started. | ||
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## Rules and guidelines | ||
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In order to get the best out of the template: | ||
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* Don't remove any lines from the `.gitignore` file we provide | ||
* Make sure your results can be reproduced by following a [data engineering convention](https://docs.kedro.org/en/stable/faq/faq.html#what-is-data-engineering-convention) | ||
* Don't commit data to your repository | ||
* Don't commit any credentials or your local configuration to your repository. Keep all your credentials and local configuration in `conf/local/` | ||
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## How to install dependencies | ||
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Declare any dependencies in `requirements.txt` for `pip` installation. | ||
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To install them, run: | ||
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``` | ||
pip install -r requirements.txt | ||
``` | ||
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## How to run your Kedro pipeline | ||
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You can run your Kedro project with: | ||
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``` | ||
kedro run | ||
``` | ||
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## How to test your Kedro project | ||
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Have a look at the files `src/tests/test_run.py` and `src/tests/pipelines/test_data_science.py` for instructions on how to write your tests. Run the tests as follows: | ||
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``` | ||
pytest | ||
``` | ||
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To configure the coverage threshold, look at the `.coveragerc` file. | ||
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## Project dependencies | ||
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To see and update the dependency requirements for your project use `requirements.txt`. Install the project requirements with `pip install -r requirements.txt`. | ||
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[Further information about project dependencies](https://docs.kedro.org/en/stable/kedro_project_setup/dependencies.html#project-specific-dependencies) | ||
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## How to work with Kedro and notebooks | ||
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> Note: Using `kedro jupyter` or `kedro ipython` to run your notebook provides these variables in scope: `catalog`, `context`, `pipelines` and `session`. | ||
> | ||
> Jupyter, JupyterLab, and IPython are already included in the project requirements by default, so once you have run `pip install -r requirements.txt` you will not need to take any extra steps before you use them. | ||
### Jupyter | ||
To use Jupyter notebooks in your Kedro project, you need to install Jupyter: | ||
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``` | ||
pip install jupyter | ||
``` | ||
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After installing Jupyter, you can start a local notebook server: | ||
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``` | ||
kedro jupyter notebook | ||
``` | ||
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### JupyterLab | ||
To use JupyterLab, you need to install it: | ||
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``` | ||
pip install jupyterlab | ||
``` | ||
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You can also start JupyterLab: | ||
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``` | ||
kedro jupyter lab | ||
``` | ||
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### IPython | ||
And if you want to run an IPython session: | ||
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``` | ||
kedro ipython | ||
``` | ||
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### How to ignore notebook output cells in `git` | ||
To automatically strip out all output cell contents before committing to `git`, you can use tools like [`nbstripout`](https://github.com/kynan/nbstripout). For example, you can add a hook in `.git/config` with `nbstripout --install`. This will run `nbstripout` before anything is committed to `git`. | ||
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> *Note:* Your output cells will be retained locally. | ||
[Further information about using notebooks for experiments within Kedro projects](https://docs.kedro.org/en/develop/notebooks_and_ipython/kedro_and_notebooks.html). | ||
## Package your Kedro project | ||
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[Further information about building project documentation and packaging your project](https://docs.kedro.org/en/stable/tutorial/package_a_project.html). |