Lynx Roundup, January 13th 2021

Lynx Roundup, January 13th 2021

Open-source Python package for Survival Analysis modeling! Observability for Data Engineering! The Black-Scholes formula explained!

Matthew Alhonte
Matthew Alhonte
Observability for Data Engineering
Observability is a fast-growing concept in the Ops community that caught fire in recent years, led by major monitoring/logging companies and thought leaders like Datadog, Splunk, New Relic, and Sumo…
shrynk - Using Machine Learning to learn how to Compress
30% less disk required compared to using the single best strategy
Going with the flow: New insights into mysterious fluid motions
Water issuing from an ordinary faucet tells a complex tale of its journey through a pipe. At high velocities, the faucet’s gushing stream is turbulent: chaotic, disorderly—like the crash of ocean waves.
Create agents that monitor and act on your behalf. Your agents are standing by! - huginn/huginn
Open source package for Survival Analysis modeling - square/pysurvival
The Black-Scholes formula, explained
The Black–Scholes model is a mathematical model simulating the dynamics of a financial market containing derivative financial instruments. Since its introduction in 1973 and refinement in the 1970s…
This is how Facebook learns what you buy at physical stores in order to show you relevant ads — and how to opt out
Facebook learns about what users are buying in order to serve them ads that reflect what they’re likely to spend money on.



Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.