People use Anaconda to avoid this and get a pretty seamless experience. Lets you use multiple python configs on the same system and manages that for you. I lea

People use Anaconda to avoid this and get a pretty seamless experience. Lets you use multiple python configs on the same system and manages that for you. I learned this when taking a computational finance class specifically to figure out why that and the quant/ai/ml community gravitated around python. Python's advantages here came from about 12 years ago, when the syntax was friendly but other similar syntax friendly languages had a lot of overhead and other compromises. But these differentiators are mostly non-existent today, and Python is the only one with basically two different programming languages (py 2.x, py 3.x) operating under a single "Python" brand.