yt Bootcamp

yt Bootcamp is a series of worked examples of how to use much of the funtionality of yt. These are not meant to be detailed walkthroughs but simple, short introductions to give you a taste of what the code can do.

There are two ways in which you can go through the bootcamp: interactively and non-interactively. We recommend the interactive method, but if you’re pressed on time, you can non-interactively go through the following pages and view the worked examples.

To execute the bootcamp interactively, you need to download the repository and start the IPython notebook. The easiest way to get the repository is to use your already-installed mercurial program to grab it:

hg clone https://bitbucket.org/yt_analysis/yt-doc

Now start the IPython notebook from within the repository:

cd yt-doc/source/bootcamp
yt notebook

This command will give you information about the notebook server and how to access it. You will basically just redirect your web browser to point to it. Once you have done so, choose “Introduction” from the list of notebooks, which includes an introduction and information about how to download the sample data.

Warning

The pre-filled out notebooks are far less fun than running them yourselves! Check out the repo and give it a try.

Here are the notebooks, which have been filled in for inspection:

• Introduction
• Data Inspection
• Simple Visualization
• Data Objects and Time Series
• Derived Fields and Profiles
• Volume Rendering

Note

The notebooks use sample datasets that are available for download at http://yt-project.org/data. See Introduction for more details.

Let us know if you would like to contribute other example notebooks, or have any suggestions for how these can be improved.