👉🏾 Check the Github repo for any updates: https://github.com/ctg123/iss-api-map
This notebook is a built-in Jupyter notebook in Jupyterlab and conda environment. The example will walkthrough interacting with a real-time API tracking the location of the International Space Station. You can collect and save your own data in this example.
A Binder-compatible repo with an
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environment.yml file should list all Python libraries on which your notebooks depend, specified as though they were created using the following
conda activate example-environment conda env export --from-history -f environment.yml
Note that the only libraries available to you will be the ones specified in the
environment.yml, so be sure to include everything that you need!
Also, note that if you skip the
--from-history, conda may include OS-specific packages in
environment.yml, which you would have to manually prune from