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jvns / interview-questions.md
Last active January 14, 2026 10:57
A list of questions you could ask while interviewing

A lot of these are outright stolen from Edward O'Campo-Gooding's list of questions. I really like his list.

I'm having some trouble paring this down to a manageable list of questions -- I realistically want to know all of these things before starting to work at a company, but it's a lot to ask all at once. My current game plan is to pick 6 before an interview and ask those.

I'd love comments and suggestions about any of these.

I've found questions like "do you have smart people? Can I learn a lot at your company?" to be basically totally useless -- everybody will say "yeah, definitely!" and it's hard to learn anything from them. So I'm trying to make all of these questions pretty concrete -- if a team doesn't have an issue tracker, they don't have an issue tracker.

I'm also mostly not asking about principles, but the way things are -- not "do you think code review is important?", but "Does all code get reviewed?".

import json
from pprint import pprint as pp
import numpy as np
from numba import autojit, typeof, int32
INF = float('inf')
@autojit
def jenks_matrics_init(data, n_classes, ):
@llimllib
llimllib / jenks2.py
Last active April 3, 2023 19:26
The jenks algorithm in python. Since replaced with: https://github.com/llimllib/jenks-python which has tests and stuff
import json
from pprint import pprint as pp
def jenks_matrices_init(data, n_classes):
#fill the matrices with data+1 arrays of n_classes 0s
lower_class_limits = []
variance_combinations = []
for i in xrange(0, len(data)+1):
temp1 = []
temp2 = []