Summary and Schedule

These pre-exercises are designed to prepare you for working with ROOT files and the broader ROOT analysis library in two separate contexts: editing and running much of the pre-existing code used to access some of the older open data files and then working with more recent, user-friendly python libraries to interface with the output files that you will be creating.

In the first case, you will be editing and/or writing files using C++ and ROOT, and perhaps examining those files with a python interface to ROOT. In the second case, you’ll use some python libraries (uproot and awkward arrays) to read some ROOT files, but then analyze the data with non-ROOT-specific libraries.

This is not a full introduction to C++ or ROOT or uproot/awkward, however, we do take time to explain some key concepts that will help you feel more comfortably working with the open data codebase.

If you run into problems with any of these steps, please reach out to the organizers through the dedicated Mattermost channel.

	Setup Instructions	Download files required for the lesson
Duration: 00h 00m	1. Introduction	What is C++? What is ROOT? What is the point of these exercises?
Duration: 00h 05m	2. Lightning overview of C++	How do I write and execute C++ code?
Duration: 00h 20m	3. Using ROOT with C++ to write and read a file	Why do I need to use ROOT? How do I use ROOT with C++?
Duration: 00h 55m	4. Using ROOT with C++ to fill a histogram	Is there more than reading and writing files that can be done with ROOT? How do I run a ROOT script?
Duration: 01h 25m	5. Using ROOT with python	Can I call ROOT from python?
Duration: 01h 30m	6. Using uproot to open ROOT files	How do I open a ROOT file with uproot? How do I explore what is in the file?
Duration: 01h 50m	7. Using awkward arrays to analyze HEP data	What are awkward arrays? How do I work with awkward arrays?
Duration: 02h 10m	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.

This lesson requires a computer with an internet connection and a bash shell (either native Linux, MacOs or Windows WSL2 Linux). You should have Docker installed and the Docker pre-exercises finished so that you can access the containers my_root and my_python created as instructed there.