|
Setup |
Questions addressed in this lesson |
| 00:00 |
1. Introduction: Python background
|
How much Python do we need to know?
What is “array-oriented” or “columnar” processing?
What is a “software ecosystem”?
|
| 00:25 |
2. Basic file I/O with Uproot
|
How can I find my data in a ROOT file?
How can I plot it?
How can I write new data to a ROOT file?
|
| 00:50 |
3. TTree details
|
What are TBranches and TBaskets?
How can I read multiple TBranches at once?
How can I get ROOT data into NumPy or Pandas?
|
| 01:15 |
4. Jagged, ragged, Awkward Arrays
|
How do I cut particles, rather than events?
How do I compute quantities on combinations of particles?
|
| 02:00 |
5. Histogram manipulations and fitting
|
How do I fill histograms?
How do I project/slice/rebin pre-filled histograms?
How do I fit histograms?
|
| 02:15 |
6. Lorentz vectors, particle PDG, jet-clustering, oh my!
|
How do I compute deltaR, mass, coordinate transformations, etc.?
How do I get masses, decay widths, and other particle properties?
What about jet-clustering and other specialized algorithms?
|
| 02:30 |
7. Tools for scaling up
|
How do I turn working code fragments into batch jobs?
Where can I look for more help?
|
| 02:40 |
Finish |
|
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
This training module is part of the Training Curriculum, a series of training modules that serves HEP newcomers the software skills needed as they enter the field, and in parallel, instill best practices for writing software.