pyEXP Tutorial

The Tutorials section of the pyEXP-examples repository is designed to be a standalone self-guided EXP course using Python. At the bottom of each notebook you will find a link to the next notebook in the sequence.

We include the first two of the introductory tutorials from pyEXP-examples below. These will give you the flavor of the workflow and introduce the key pyEXP ideas. Rather than read, we strongly encourage you to run these yourself.

To get started, make sure that EXP is installed on your system (see Installation guide). Then, you may use the copy button and paste each cell into a local notebook. Or, git clone the pyEXP-examples repository from here and load the notebooks into Jupyter in their entirety. If you are using the EXP Docker container, the pyEXP-examples repository can be copied or loaded from /usr/local/pyEXP-examples in the container.

Note

The full output is provided for all Jupyter cells below. However, repeating the computations will require the Data directory from pyEXP-examples/Tutorials.

• An example of creating coefficients using pyEXP
  • Create the basis
  • Creating a particle reader
  • Using a FieldGenerator
  • Saving the coefficients
  • Where do you want to go next?
• An example of applying mSSA to the coefficients you created using pyEXP
  • Create the basis
  • Reading the halo coefficients
  • Visualizing the fields
  • Using MSSA
  • Where do you want to go next?

Next steps

These first two notebooks covered only the basics of pyEXP, but there’s a lot of other features not mentioned here. If these seem useful, we encourage you to work through the rest of the tutorial notebooks in sequence. Also, you can learn to run EXP n-body simulations using the notebooks in the Tutorials/EXP directory.