Profiling is a dynamic program analysis that measures a running program’s time and(or) memory consumption. The profiler can instrument the entire running program or record samples for a fixed duration of time.
Source: Profiling Django App.
Bayesian histograms are a stupidly fast, simple, and nonparametric way to find how rare event probabilities depend on a variable (with uncertainties!).
Source: Bayesian histograms for rare event classification, an article by Dion Häfner.
A raging wildfire. A massive blackout. A wealthy man shot to death in his palatial hilltop home.
For Clay Edison, it’s all in a day’s work. As a deputy coroner, caring for the dead, he speaks for those who cannot speak for themselves. He prides himself on an unflinching commitment to the truth. Even when it gets him into trouble.
Then, while working the murder scene, Clay is horrified to discover a link to his brother, Luke. Horrified. But not surprised. Luke is fresh out of prison and struggling to stay on the straight and narrow.
And now he’s gone AWOL.
The race is on for Clay to find him before anyone else can. Confronted with Luke’s legacy of violence, Clay is forced to reckon with his own suspicions, resentments, and loyalties. Is his brother a killer? Or could he be the victim in all of this, too?
In the evening I started in The Burning a Clay Edison novel by Jonathan and Jesse Kellerman.