Jim's tutorials for LPC HATS:
- Scientific Python and Uproot, May 28, 2019 at Wilson Hall 11th floor Sunrise conference room.
- Columnar Analysis Tools, May 29, 2019 at the same location.
For help, log into the HATS Mattermost channel.
To participate, either install all of the software on your laptop (with conda for Python 3, an isolated 3.1 GB environment that you can remove with
conda remove --name lpchats2019-uproot-awkward --all):
git clone https://github.com/jpivarski/2019-05-28-lpchats-numpy-uproot-awkward.git cd 2019-05-28-lpchats-numpy-uproot-awkward conda env create -f environment.yml # create an isolated environment and install everything conda activate lpchats2019-uproot-awkward # switch to that environment (maybe "source activate...") conda install jupyterlab pip install --no-cache numpythia # only one example uses numpythia; it's slow to install jupyter lab # runs on your machine, controlled by your web browser
(If installation on your laptop fails, use the cloud option. GPU libraries and numpythia not included.)