Glossary

Key Points

Introduction	C++ has a reputation for being intimidating, but there are only a few things you need to learn to edit the open data code for your own uses. You can use the ROOT toolkit using both C++ and python. Some ROOT code is written in C++ to access the datafiles. People will often use simpler C++ scripts or python scripts to analyze reduced datasets.
Lightning overview of C++	We must compile our C++ code before we can execute it.
Using ROOT with C++ to write and read a file	ROOT defines the file format in which all of the CMS Open Data is stored. These files can be accessed quickly using C++ code and the relevant information can be dumped out into other formats.
Using ROOT with C++ to fill a histogram	You can quickly inspect your data using just ROOT A simple ROOT script is often all you need for diagnostic work
Using ROOT with python	PyROOT is a complete interface to the ROOT libraries
Installing python and the analysis tools locally	It takes a finite amount of work to be able to read and and analyze ROOT files on your laptop. You can do this without ever using the official ROOT libraries.
Using uproot to open ROOT files	You can use uproot to interface with ROOT files which is often easier than installing the full ROOT ecosystem.
Using awkward arrays to analyze HEP data	Awkward arrays can help speed up your code, but it requires a different way of thinking and more awareness of what functions are coded up in the awkward library.

FIXME