If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda management system. Please follow the official installation guide for installing on Linux/Mac/Windows. Linux/Mac also comes with a system Python (/usr/bin/python). Don't touch that. Windows users might find the full Anaconda (Conda plus tons of packages) with graphical interface easier to use than the command line.

Features

  • Install on remote server & shared cluster
  • Python/xarray tutorial for GEOS-Chem users
  • Documentation available
  • Examples available
  • Install on your own computer
  • From Python to general research computing skills

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MIT License

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Additional Project Details

Programming Language

Python

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Python Libraries

Registered

2024-01-09