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ISciNumPy.dev

Presentations


RSE group meeting

Digital RSE: Automatic Code Quality Checks

Mar 8, 2022
Virtual

    PyHEP 2022 Topical

    boost-histogram / Hist

    Mar 2, 2022
    Virtual

      HSF Software & Computing round table

      CMake best practices

      Feb 2, 2022
      Virtual

      • YouTube

      SciPy 2021

      pybind11

      Jul 16, 2021
      Virtual

      • YouTube

      PyHEP 2021

      Powerful Python Packaging for Scientific Codes

      Jul 8, 2021
      Virtual

        PyHEP 2021

        High-Performance Histogramming for HEP Analysis

        Jul 7, 2021
        Virtual

          PyHEP 2021

          Level Up Your Python (part 2)

          Jul 6, 2021
          Virtual

            PyHEP 2021

            Level Up Your Python (part 1)

            Jul 5, 2021
            Virtual

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              Posts
              • Tools plenary: cibuildwheel
              • Tools plenary: scikit-build
              • AI tools in OSS development
              • Tools that help you write better code
              • Tools to help you write better code
              • What's new in Python π
              • Python Histograms
              • Using Venvs
              • Packaging a Scientific Python Project
              • Building Python Packages
              • Tools to help you write better code
              • The two flavors of Python 3.13
              • Modern binary build systems
              • Software Quality Assurance Tooling
              • Learning Rust with Advent of Code 2023
              • Project report - henryiii
              • Software Quality Assurance Tooling
              • Software Quality Assurance Tooling
              • What's new in Python 3.11
              • Everything you didn't know you needed
              • Building binary extensions with pybind11, scikit build, and cibuildwheel
              • Awkward Packaging: building Scikit-HEP
              • Scikit-HEP Developer Pages: Guidelines for modern packaging
              • Building Binary Packages
              • Digital RSE: Automatic Code Quality Checks
              • boost-histogram / Hist
              • CMake best practices
              • pybind11
              • Powerful Python Packaging for Scientific Codes
              • High-Performance Histogramming for HEP Analysis
              • Level Up Your Python (part 2)
              • Level Up Your Python (part 1)
              • CMake: Best Practices
              • The boost-histogram Package
              • boost-histogram: High-performance histograms as objects
              • Python, NumPy, and Pandas
              • High-Performance Python: GPUs
              • High-Performance Python: CPUs
              • Recent developments in histogram libraries
              • Python 3.8: What's new
              • Python Histogramming Packages
              • Boost Histogram Roadmap
              • Modern CMake Workshop
              • Modern CMake
              • AmpGen & Particle/DecayLanguage
              • Histograms
              • A hybrid deep learning approach to vertexing
              • boost-histogram and hist
              • A hybrid deep learning approach to vertexing
              • Conda: a complete reproducible ROOT environment in under 5 minutes
              • Machine Learning for the Primary Vertex reconstruction
              • A hybrid deep learning approach to vertexing
              • PV finding with CNNs
              • iminuit: interactive python wrapper around MINUIT2
              • A Python upgrade to the GooFit package for parallel fitting
              • Tools to bind to Python
              • Goofit 2.0
              • Recent developments in GooFit
              • GPUs in LHCb for Analysis
              • Modernizing GooFit: A Case Study
              • CLI11

              Henry Schreiner  •  © 2026  •  ISciNumPy.dev

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