[zogrodea]

Richard Feldman states in a video aiming to explain the popularity of OOP that Python initially had a small community for decades, and that Python's increase in popularity followed a slow and steady increase, which is not true of many other languages like Ruby. That's corroborated by the graph in this article. [0]

Based on Python's slow and steady incresae, timing and luck don't seem like good factors for explaining its popularity. The others are debatable though.

[0]

https://flatironschool.com/blog/python-popularity-the-rise-o...

[ddragon]

I fail to see how timing and luck isn't a factor. It's more than how popular it was when it launched, many of those languages that are allegedly better had a strong timing disadvantage by either not existing or not being mature once the data science boom occurred (including equivalents to libraries like numpy, scipy, matplotlib and theano), allowing python to be the right option then. Any language that missed the timing must now play catch up with a fraction of the resources and completely unproven in the market.

Luck is harder to quantify, but at the very least competitors like common lisp didn't have much of it.