2022#17 Readings 🇺🇦🌻
2 minutes read | 383 words by Ruben BerenguelSlightly shorter because I’ll be on holidays.
Next week I’ll be wandering around some mountains, and hopefully have 10 degrees less.
📯 The Presto Paper
This is the next installment on my quest to read and help understand interesting papers in the data space.
The Set-Up-To-Fail Syndrome
A very oldie from HBR, but explains a very real and existing mechanic at play in offices which remote work may be making worse.
Scalability! But at what COST?
This is something I wondered when using GraphFrames' connected components algorithm (big star/small star). Sadly I didn’t have the work bandwidth to try a custom, single-machine implementation (the cost was already significantly cheaper than the previous version, and way way cheaper than buying it pre-computed).
Engineering Team Turnaround
This is an awesome resource on ideas for handling a new team. Beware, it is very long.
How to Brew Iced Tea
I’ve been seeing one of the methods on Instagram lately. I tried and it’s ok.
Building more effective data teams using the JTBD framework
I thought about finding out what where the JTBDs of our stakeholders a couple of months ago, clearly it was not only my thinking about this.
Relearning to Learn
Learning methods, deliberate practice, etc.
Broken Sword: The Shadow of the Templars
A Digital Antiquarian history lesson on a classic game.
Even your boss wants to quit
What is going on with executives and C-levels.
Compiling Black with mypyc
I didn’t know what mypyc is (or forgot?). It leverages the mypy type checker to transpile type-annotated Python to C… speeding it up significantly.
