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.DS_Store | ||
env/ | ||
.ipynb_checkpoints/ |
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init: purge | ||
virtualenv -p python3 env | ||
env/bin/pip install -r requirements.txt | ||
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purge: | ||
-@rm -rf env | ||
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lab: | ||
env/bin/jupyter lab | ||
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ipython: | ||
env/bin/ipython |
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# h3-py Notebooks | ||
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[![version](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE) | ||
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Welcome to H3 in Jupyter Notebooks! | ||
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[H3](https://h3geo.org/) is a hierarchical hexagonal | ||
geospatial indexing system. | ||
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This repo is a gallery of Jupyter notebooks including H3 Python | ||
API tutorials, examples and visualizations. | ||
You can visualize them on | ||
[NBViewer](https://nbviewer.jupyter.org/github/uber/h3-py-notebooks/tree/master/notebooks/), | ||
[mybinder](https://mybinder.org/v2/gh/uber/h3-py-notebooks/master?filepath=notebooks), | ||
or execute jupyter notebook from your own terminal. | ||
To execute notebooks locally, you need to install | ||
[`h3-py`](https://github.com/uber/h3-py). | ||
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You are more than welcome to contribute new notebooks. | ||
Before we can merge your changes, you must agree to the | ||
[Uber Contributor License Agreement](https://cla-assistant.io/uber/h3). | ||
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This repo is licensed under [Apache 2.0 License](LICENSE). |
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h3>=3.6.1 | ||
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jupyterlab | ||
pandas | ||
geopandas | ||
matplotlib | ||
descartes | ||
folium |