[querez]

That's not how I remember it. Excitement for python strongly predated ML and data science. I remember python being the cool new language in 1997 when I was still in high school. Python 2.4 was already out, and O'Reilly had put several books kn the topic already it. Python was known as this almost pseudo code like language thst used indentation for blocking. MIT was considering switching to it for its introductory classes. It was definitely already hyped back then -- which led to U Toronto picking it for its first ML projects that eventually everyone adopted when deep learning got started.

[kitd]

It was popular as a teaching language when it started out, along side BASIC or Pascal. When the Web took off, it was one of a few that took off for scripting simple backends, along side PHP, JS and Ruby.

But the real explosion happened with ML.

[trwired]

I agree with the person you're replying to. Python was definitely already a thing before ML. The way I remember it is it started taking off as a nice scripting language that was more user friendly than Perl, the king of scripting languages at the time. The popularity gain accelerated with the proliferation of web frameworks, with Django tailgating immensely popular at the time Ruby on Rails and Flask capturing the micro-framework enthusiast crowd. At the same time the perceived ease of use and availability of numeric libraries established Python in scientific circles. By the time ML started breaking into mainstream, Python was already one of the most popular programming languages.