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Getting Started

What is GeoCAT Applications?

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New to Python?

If you are new to Python or want to learn more, Project Pythia offers high-quality, geoscience-oriented Python tutorials

Pythia Foundations covers prerequisites that will be helpful to learn for GeoCAT Applications like:

  • Getting Started with Python
  • Getting Started with Jupyter
  • Working with NumPy and Pandas
  • Plotting with Matplotlib

New to Jupyter Notebooks?

Jupyter Notebooks provide an interactive interface to write, execute, and visualize code. Traditionally, code is written in a script and executed in order from beginning to end each time a script is run. Instead, Jupyter Notebooks allow you to divide code into cells that can be executed individually and in any order. Each cell in a Jupyter Notebook can be filled with executable code, markdown, or raw code. Jupyter Notebooks have grown in popularity because they offer a simple method to include plain English description alongside code to improve readability. In addition, because each cell can be run in any order, it is possible to organize a notebook to avoid having to constantly re-run parts of a script that might take longer to run than others, like like retrieving data. The outputs of each cell appear below the cell without the need for typing print or plt.show().

In addition to Pythia Foundations "Getting Started with Jupyter" , you can see the Project Jupyter Documentation for more information. or try it out yourself online.

Each tutorial and resource page of GeoCAT Applications is built from Jupyter notebooks, however, on the GeoCAT Applications webpage, each page is a static resource. For information about how to download GeoCAT application to run locally, please see the Contributor Guide.

If you have any questions, please leave us a message on GeoCAT Applications Issues or in GeoCAT Applications Discussions. You can also reach us by email at [email protected].