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    Faster data exploration in Jupyter through Lux

    Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of data exploration,...

    Themes and Conferences per Pacoid, Episode 11

    Paco Nathan's latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction Welcome back to our monthly...

    Themes and Conferences per Pacoid, Episode 5

    In Paco Nathan's latest column, he explores the theme of "learning data science" by diving into education programs, learning materials, educational...

    Reproducible Machine Learning with Jupyter and Quilt

    In this guest blog post, Aneesh Karve, Co-founder and CTO of Quilt, demonstrates how Quilt works in conjunction with Domino's Reproducibility Engine...

    Reproducible Dashboards and Other Great Things to do with Jupyter

    Mac Rogers, Research Engineer at Domino, presented best practices for creating Jupyter dashboards at a recent Domino Data Science Pop-Up. Session...

    nteract: An open-source, desktop-based, interactive computing application

    Today, along with our partners at Plot.ly, we're announcing a significant investment in the open-source nteract project. nteract is a desktop-based,...

    Building Interactive Dashboards with Jupyter

    Welcome to Part II of "Advanced Jupyter Notebook Tricks." In Part I, I described magics, and how to calculate notebooks in "batch" mode to use them...

    Advanced Jupyter Notebook Tricks — Part I

    I love Jupyter notebooks! They're great for experimenting with new ideas or data sets, and although my notebook "playgrounds" start out as a mess, I...