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Python for Earth Sciences

Instructor: Rebekah Esmaili

A crash course in Python focusing on reading and visualizing data-sets used in Earth sciences.

This code is interactive! Click: Binder

Getting Started

This workshop will cover:

  • Launching Jupyter Notebooks
  • Working with arrays using the Numpy package
  • Importing text datasets using the Pandas package
  • Creating simple graphics with Matplotlib
  • Importing scientific data formats, such as netCDF and GRIB2
  • Creating maps from datasets

Installation requirements

"I am really new to Python!"

  • I recommend launching binder, which is a "cloud version" of this course. No installation required! Binder

  • Need help with Binder? Video tutorial on YouTube.

"I have used Python before!"

  • If you wish to run the examples locally, I recommend installing Anaconda. If you are having trouble with your installation, contact the instructor before the course or use binder.

  • Need help installing Anaconda? Video tutorial on YouTube.

  • Download the contents of the GitHub repository to your computer.

  • Launch Jupyter Notebooks from the Anaconda Navigator. This will open a window in your default browser. Navigate to the folder that contains the notebooks (*.ipynb) and click on the tutorial for the day.

  • New to Jupyter? Here's a video tutorial on YouTube.

  • Additional packages:

    • Launch the Anaconda Prompt (Windows) or Terminal (MacOS/Linux). Then copy/paste and hit enter: 
      conda install -c conda-forge cartopy
conda install -c conda-forge netCDF4
conda install -c conda-forge xarray
conda install -c conda-forge pygrib
    • If there are no errors, then you are set-up!
    • Alternatively, if you are familiar with environments, you can use the environments.yml to install the necessary packages. You can do this in the terminal using:
    conda env create -f environment.yml

    Then, switch to the new environment (conda activate python-workshop) once the installation is complete.

I do not recommend:

  • Using Python on a remote server for this tutorial (I cannot help troubleshoot)
  • Using your operating system's Python or a shared Python installations unless you are advanced!

Course Philosophy

  • Increase accessibility of satellite data and analysis
  • Teach Python using practical examples and real-world datasets
  • Promote reproducible and transparent scientific research

Resources

Packages and Tutorials

Pandas

Matplotlib

Reading self describing file

General Python resources

Beginner Tutorials

* Youtube series for absolute beginners [CS Dojo](https://www.youtube.com/watch?v=Z1Yd7upQsXY&list=PLBZBJbE_rGRWeh5mIBhD-hhDwSEDxogDg)

* [Research Software Engineering with Python](https://merely-useful.tech/py-rse/) Free eBook to enhance your workflow.

Intermediate Tutorials

* Last year's workshop, [Python for Earth Science with Rebekah](https://youtube.com/playlist?list=PLlcgQ3Rl-9fR4oOmfeKPKHuk2Lj57bNJy), is available online. I'll upload this one once available.

* [Python for Climate and Meteorology](https://www.youtube.com/watch?v=uQZAEPnUZ5o) Another tutorial taught at AMS, a little more advanced.

* Learn more about [Python for Atmosphere and Ocean Scientists](https://carpentries-lab.github.io/python-aos-lesson/) using Software Carpentry lesson plans.

* [Earth Observation using Python](https://www.wiley.com/en-us/Earth+Observation+using+Python%3A+A+Practical+Programming+Guide-p-9781119606888) is a book I wrote that builds on the content of the workshop.

Acknowledgements

Special thanks to past contributors, Kriti Bhargava and Eviatar Bach!