Introduction

• Alexander Held (New York University (US))
• Oksana Shadura (University of Nebraska Lincoln (US))

Foundation libraries (uproot, awkward, hist, mplhep)

• Mason Proffitt (University of Washington (US))

Queries with func_adl and data delivery with ServiceX

• Gordon Watts (University of Washington (US))

Columnar analysis with coffea

• Lindsey Gray (Fermi National Accelerator Lab. (US))
• Mat Adamec (University of Nebraska Lincoln (US))
• Nick Smith (Fermi National Accelerator Lab. (US))

Statistical inference: pyhf and cabinetry

• Matthew Feickert (Univ. Illinois at Urbana Champaign (US))

From data delivery to statistical inference with CMS Open Data

• Alexander Held (New York University (US))

Scale-out with coffea: coffea-casa analysis facility

• Carl Lundstedt (University of Nebraska Lincoln (US))
• Oksana Shadura (University of Nebraska Lincoln (US))

Data management with Skyhook

• Jayjeet Chakraborty (University of California, Santa Cruz)
• Carlos Maltzahn

Analysis user experience with Python HEP data science tools in ATLAS

• Matthew Feickert (Univ. Illinois at Urbana Champaign (US))

Analysis user experience with Python HEP data science tools in LHCb

• Nathan Allen Grieser (Chinese Academy of Sciences (CN))

Analysis user experience with Python HEP data science tools in CMS

• Lindsey Gray (Fermi National Accelerator Lab. (US))

Discussion