oh 100% specifically re: hashicorp using ruby, there was definitely a time between 1.8 and 2.x where installing ruby was a nightmare. That's when i quit using

oh 100% specifically re: hashicorp using ruby, there was definitely a time between 1.8 and 2.x where installing ruby was a nightmare. That's when i quit using ruby! Even though I loved ruby. And when I saw hashicorp products using Ruby as their DSL a part of me was worried it was not a good choice for those reasons. Python ecosystem definitely suffers from this. I tried to do some machine learning experiments and basically all of the repos I wanted to use were on 2.x and after 30 minutes of faffing around I gave up and moved onto other packages. However, the biggest pain points for Python came in the 2-3 transition (and TensorFlow x->y in general). By then Python had too much momentum and popularity (and every undergrad learns python). TensorFlow, well at least there is a competitor (torch) and so we see that TF's popularity has basically been sucked dry, and I have no doubt that a large portion of it is just how awful Google+Nvidia have been in managing the TF releases.