Jim Pivarski Tutorial: uproot and Awkward Array

Jim's tutorials covers the full spectrum of analysis tasks:

Getting data
* Exploring a TFile and TTrees
* Iterating over chunks of large datasets and over many files
* Reading histograms and other objects
* Writing objects and TTrees back to root files

Manipulating data
* Iteration in Python vs array-at-a-time operations
* Filtering (cuts) events and particles with advanced selections
* Flattening for plots and regularizing (rpad, clip) to NumPy for machine learning
* Broadcasting flat arrays and jagged arrays
* Combinatorics and reducing from combinations.
* Imperative, but still fast, programming in Numba
* Grafting jagged data onto Pandas
* NumExpr, Autograd, and other third-party libraries