ML would have advanced faster if another front-end language had been adopted?
I disagree with that hot take because it ignores the momentum around pandas, scipy and other key libraries that were just easier to use in Python than (for instance) R, and the network effects.<p>In the years I was doing active ML and data science&#x2F;engineering work, I met exactly _one_ team that was using Julia, and only came across R when dealing with academia. Mainstream&#x2F;corporate customers never even considered any other alternative (other than MatLab, which had an established base in manufacturing, oil, gas, etc.).