main.tex

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\title[June 29th, 2022]{%
Modern Python analysis ecosystem for High Energy Physics%
}
\author{Jim Pivarski, Matthew Feickert, Gordon Watts}
\institute{Princeton University, University of Wisconsin-Madison, University of Washington}
\date[June 29th, 2022]{The Python Exchange for DOE Employees\\June 29th, 2022}

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\include{src/matthew.tex}
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\begin{frame}{Conclusions: Modern Pythonic analysis in HEP is happening now}
\Large
\begin{center}
A confluence of scientific tools and scientists has lead to a feature-complete \textbf{Scikit-HEP} in the last 5 years
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\vspace{0.1 cm}

\begin{center}
\href{https://indico.cern.ch/event/613842/contributions/2591057/}{\includegraphics[width=0.625\linewidth]{scikit-hep-in-2017.png}}
\end{center}

\vspace{-1.5 cm}
\hfill \mbox{Eduardo Rodrigues\hspace{-0.5 cm}}
\vspace{1.5 cm}
\end{frame}

\begin{frame}{Conclusions: Modern Pythonic analysis in HEP is happening now}
\Large
\begin{center}
Growing PyHEP \textbf{ecosystem} is enabling analysts in HEP to explore and reduce the time to insight
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\vspace{0.1 cm}

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  \href{https://indico.cern.ch/event/1140031/}{\includegraphics[width=0.55\linewidth]{shells-hep.pdf}}
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