API Cookbook

This Project Pythia Cookbook covers ... (replace ... with the main subject of your cookbook ... e.g., working with radar data in Python)

Motivation

Cookbook that focuses on accessing and visualizing data from various geoscience related APIs. In the cookbook, we will show step by step tutorials on retrieving data from the public APIs provided by NASA, NOAA, and USGS, then creating an informational and visually appealing plots

Authors

Cora Schneck

Contributors

Structure

(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - "Foundations" and "Example Workflows." Then, describe each section below.)

Section 1 ( Replace with the title of this section, e.g. "Foundations" )

(Add content for this section, e.g., "The foundational content includes ... ")

Section 2 ( Replace with the title of this section, e.g. "Example workflows" )

Center for Near Earth Object Studies (CNEOS)

Running the Notebooks

You can either run the notebook using Binder or on your local machine.

Running on Binder

The simplest way to interact with a Jupyter Notebook is through Binder, which enables the execution of a Jupyter Book in the cloud. The details of how this works are not important for now. All you need to know is how to launch a Pythia Cookbooks chapter via Binder. Simply navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select “launch Binder”. After a moment you should be presented with a notebook that you can interact with. I.e. you’ll be able to execute and even change the example programs. You’ll see that the code cells have no output at first, until you execute them by pressing {kbd}Shift+{kbd}Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

Clone the https://github.com/ProjectPythia/cookbook-example repository:
```
 git clone https://github.com/ProjectPythia/cookbook-example.git
```
Move into the cookbook-example directory
```
cd cookbook-example
```
Create and activate your conda environment from the environment.yml file
```
conda env create -f environment.yml
conda activate cookbook-example
```
Move into the notebooks directory and start up Jupyterlab
```
cd notebooks/
jupyter lab
```

apkrelling/api-cookbook