Joining in with Nick Symmonds and Ryan Hall's challenge to deadlift 500 pounds and run a mile in under 5 minutes, I was signed up for a marathon and couldn't resist going for a max pull the morning of.
Cleared 225, 275, and 295 for my max lift at 5AM …
TL;DR: Use all of the cool examples with your own data, while keeping that data local or inside your network.
If you haven’t heard of it, Observable is a platform for interactive coding brought to the world by Mike Bostock, creator of d3. It embodies a bold vision …
Like many data scientists and Python developers before me, I've given up on managing my own Python builds and turned to pyenv (links to chronological posts in Towards Data Science). At various points in time, I built Python versions from source myself or used the prebuilt Framework installers on OSX …
D3 moves fast:
Whew, D3 6.0 is out! Here are the detailed release notes, hot off the press. 😅 https://t.co/XJMBHvoNG0
— Mike Bostock (@mbostock) August 27, 2020
I try to keep up, but inevitably have lots of production code, tutorials, and examples still in older versions (the biggest …
I come from the world of MATLAB and numerical computing, where for loops are shorn and vectors are king. During my PhD at UVM, Professor Lakoba's Numerical Analysis class was one of the most challenging courses I took and the deep knowledge of numerical code still sticks with me …
We're relying heavily on Observable for the most recent edition of Berkeley MIDS W209: Information Visualization. While Observable is a hosted tool, there are a handful of tricks that make is useful for enterprise applications (where data needs to reside locally). One of these is relying on locally accessible data …
The COVID-19 pandemic not only delayed the Boston Marathon until September, but cancelled it entirely. The organizers moved to a virtual format, and of course, I had to do it.
On Strava:
And if you don’t get motion sick, and want to hear me complain about running with a …
Let's talk about workflow.
Most R users that I know use RStudio.
Most programmers that I know use a text editor like Emacs, or use what is embedded into an IDE like PyCharm or IntelliJ. https://jstaf.github.io/2018/03/25/atom-ide.html
There are some things to like …
Great Expectations is a useful tool in any data pipeline to ensure that data is what you expect. While data validation and such have been compared to Data Science's "janitorial work", others argue that it's really part of the analysis. Either way, I've had enough headaches with analysis being wrong …
The COVID-19 pandemic has led to the cancellation of most events, including the Boston Marathon (which made it through the 1918 flu and 2 world wars). Alas, I couldn't let my half-assed training go to "waste", so I took to the basement.
I'd already taken the time off from work …