Masonproffitt
masonproffitt.github.io › uproot-tutorial
Uproot Tutorial
March 21, 2022 - 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).
uproot-custom: customize branch data reading in Uproot
59:30
PyHEP 2021: Uproot and Awkward Array tutorial - YouTube
02:37:12
Jim Pivarski Tutorial: uproot and Awkward Array - YouTube
18:27
RNTuple and Uproot - YouTube
26:43
Easy Columnar File Conversion with 'hepconvert' - Zoë Bilodeau ...
01:10:02
Distributed Columnar HEP analysis using coffea + dask - Iason ...
Readthedocs
uproot.readthedocs.io
How to install — Uproot documentation
If you are migrating from an older ... see the Uproot 3 → 4+ cheat-sheet. If you need detailed descriptions of a class’s properties or a function’s parameters, see the left-bar on this site (≡ button on mobile) or use help in Python, ? or shift-tab in iPython/Jupyter. Report bugs, request features, and ask for additional documentation on GitHub ...
» pip install uproot4
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Anaconda.org
anaconda.org › conda-forge › uproot
uproot - conda-forge | Anaconda.org
August 19, 2026 - ROOT I/O in pure Python and NumPy. Last Updated · Aug 20, 2026 at 03:33 · License · BSD-3-Clause · Supported Platforms · noarch · Unsupported Platforms · linux-ppc64le Last supported version: 4.3.7 · macOS-arm64 Last supported version: 4.3.7 · linux-64 Last supported version: 4.3.7 · linux-aarch64 Last supported version: 4.3.7 · macOS-64 Last supported version: 4.3.7 · win-64 Last supported version: 4.3.7 · Home https://github.com/scikit-hep/uproot5 ·
GitHub
github.com › scikit-hep › uproot5 › discussions › 321
Writing files with Uproot 4 · scikit-hep/uproot5 · Discussion #321
As a last update (in this sprint, at least), I've released Uproot 4.1.1 (PyPI) with several writing-related performance bugs and one bug-bug fixed, all in PRs #426 and #428. The GitHub pages have some measurements with the code used to make them. A rule of thumb that comes out of this is that you want to call TTree.extend with no less than about 100 kB per array branch. At that point, the Pythonic overhead for writing TBasket metadata is in the noise:
Author: scikit-hep
Cms-opendata-workshop
cms-opendata-workshop.github.io › workshop2023-lesson-cpp-root-python › 07-uproot
Using uproot to open ROOT files – ROOT with C++ and python
June 28, 2023 - If this is a script, you may want to run python open_root_file.py every few lines or so to see the output. If this is a Jupyter notebook, you will want to put each snippet of code in its own cell and execute them as you go to see the output. import numpy as np import matplotlib.pylab as plt import uproot import awkward as ak