This is an outdated version of the tutorial. This tutorial is now hosted at https://hsf-training.github.io/hsf-training-uproot-webpage.
This tutorial aims to demonstrate how to quickly get started with uproot,
a Python package that can read and write files in the
.root format without actually requiring or running the ROOT software at all
(as opposed to PyROOT, which is just an interface in Python that runs ROOT behind the scenes).
|Setup||Download files required for the lesson|
What is uproot?
Why should I use it?
|00:10||2. Opening files||
How do I open a ROOT file with uproot?
How can I tell what’s in the file?
How do I access the contents?
|00:30||3. Trees, Branches, and Events||
How do I access a TTree?
How can I tell what branches are in a TTree?
How do I read the data from a TTree?
How do I make a histogram in Python (without ROOT)?
How can I change histogram settings?
|01:20||5. Columnar Analysis||
What is columnar analysis?
What are its advantages over row-based analysis?
How do I perform selections and operations on columns?
|01:50||6. Getting Physics-Relevant Information||How can I use columnar analysis to do something useful for physics?|
|02:20||7. Advanced topic: Fitting (optional)||How can I fit a common function to a histogram?|
|02:20||8. Further resources||
Where can I find more advanced information on these topics?
What other Python packages exist with tools for more complicated analysis?
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.