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cw24.tex
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cw24.tex
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\documentclass[
8pt,
]{beamer}
\graphicspath{{Images/}{./}}
\usepackage{booktabs}
\usetheme{Madrid}
\usefonttheme{structurebold}
\useinnertheme{rounded}
\setbeamertemplate{frametitle}[default][center]
\title[OfflineDataSci]{Overview: Offlinedatasci automates the downloading and updating of the most recent materials for running workshops.}
\subtitle{Optional Subtitle}
\author[VC EPW JSS CS AD]{VC EPW JSS CS AD}
\date[\today]{\today}
\begin{document}
\begin{frame}
\frametitle{OfflineDataSci}
\framesubtitle{A Python Package for Managing Common Data Science Tools for Carpentries Workshops or Individual Users When Limited Access to the Internet is Anticipated}
\begin{block}{Introduction}
Overview: Offlinedatasci automates the downloading and updating of the most recent materials for running workshops.
\end{block}
\begin{columns}[t]
\begin{column}{0.6\textwidth} % Left column width
\begin{itemize}
\item Limited internet access is an obstacle for data science workshop attendees, individual learners, and practitioners.
\item OfflineDataSci is a Python package with a command-line interface that allows workshop instructors or individuals to maintain local teaching servers or local work environments.
\item It downloads lesson materials for Software, Data, and Library Carpentries; installers for essential tools like \textbf{R}, \textbf{Python}, and \textbf{Rstudio}; and creates local mirrors of the R and Python package repositories that can be customized.
\end{itemize}
\end{column}
\begin{column}{0.4\textwidth} % Right column width
\begin{figure}
\includegraphics[width=1\linewidth]{offlinedatasci.png}
\caption{OfflineDataSci handles downloading and configuring software and lessons.}
\end{figure}
\end{column}
\end{columns}
\begin{block}{Acknowledgements}
Virnaliz Cruz, Ethan P. White, Jannetta S. Steyn, Colin Sauze, Abhishek Dasgupta
\end{block}
\end{frame}
\end{document}