Introducing jupyckage: Create Python Packages from Notebooks in One Line of Code
a better way to keep your notebooks in sync and move from dev to reusable code… Continue reading Introducing jupyckage: Create Python Packages from Notebooks in One Line of Code
Keep readingQuick Little Hack: Camera-Ready Scripts and LaTex From Jupyter Notebooks
Workflow Hack: Automatically create (and update) prettier scripts and LaTex content when you run your Jupyter Notebook… Continue reading Quick Little Hack: Camera-Ready Scripts and LaTex From Jupyter Notebooks
Keep readingOldies But Goodies: “On AI ROI: The Questions You Need To Be Asking”
A very practical, very look-behind-the-curtain talk that’s a bit irreverent to the myth of the all-magical, all-fixing, no-oversight-needing data science.… Continue reading Oldies But Goodies: “On AI ROI: The Questions You Need To Be Asking”
Keep readingOldie But Goodie: “Building an Effective Project Portfolio”
A guide building a to nimble, efficient, and impactful data strategy.… Continue reading Oldie But Goodie: “Building an Effective Project Portfolio”
Keep reading“Chasing Impact” Talk at the GET Cities Kickoff Summit
A few weeks ago (January 23rd, 2021 to be precise) I had the pleasure of joining GET Cities for their inaugural Kickoff Summit! GET Cities is an incredible fellowship program building a more inclusive future for tech by fostering community and…
Keep readingI’m Back! & I’ve Been Featured!
It took a while, but I’ve got my site back! I’m excited to backfill some posts I’ve been trying to put up and I’m so grateful to be featured alongside some outstanding AI professionals! Link More content to–quickly!–come!
Keep readingWhy & When: Cross Validation in Practice
Most of us agree we should cross validate–and how to cut up the k-folds. Finally I’ve put down in writing why we do it and where it should actually fit into your workflow.… Continue reading Why & When: Cross Validation in Practice
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Data Science at Work 