Bayesian modeling and junior hiring collapse

Today we're looking at two very different sides of programming: a deep dive into Bayesian modeling for uncertain spatial data, and a sobering look at the collapse of junior hiring in tech. One will stretch your stats skills, the other might depress you.

#01May 24

Don't know where your data is from? Bayesian modeling for unknown coordinates

If you've ever had data with missing or fuzzy location info, this piece shows how Gaussian processes in PyMC can help you model it probabilistically, using mining samples as a real-world example.

by ckrapu10 min readRead original

#02May 24

No Juniors Today, No Seniors in 2031

Junior dev hiring is down 40% since late 2024, and big tech is mostly hiring senior-only, with the few junior roles left paying less, demanding more, and adding anti-AI testing that feels more like a hurdle than a filter.

by fbritoferreira14 min readRead original

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