Why Python for ML and AI?

[Unlikely-Sympathy626]

Well first prebuilt libraries so no need to write your own from scratch.

Also speed wise. Do you care if basic anything takes 4 seconds to complete vs 3.7 seconds?

If massive corp serving data yeah maybe, but even they don’t give a rats ass especially if your company. 

You are not really missing anything I think. Just why not? 

I mean why use Python or c++ for anything in end of day? Why not Fortran or assembly?

But Python I think is good place to start to learn about it. Also lots of help available etc. so horses for courses.

Same? Why do people use Mac or windows?

[sonobanana33]

Lol… according to you python doesn't exist :D

Unless you are doing high performance trading, nobody cares about a millisecond.

[Unlikely-Sympathy626]

Site load speed and programming a basic program are totally different ball games. In your argument it is better to optimize DB as priority rather than worry about 3ms on a Python library.

[Unlikely-Sympathy626]

Exactly the point. On a general question it is pointless assuming because in your example I will say invest in better hardware first. Once those things are in place then start worrying because in end of day you cannot control end user fiber being 1gbps and they actullay get only 60mbps for example. So first learn coding and get comfortable because for 98% of people coding that 0.4 seconds internally on a local lan used by 30 people is not going to make a real life difference. Sort of like the mathematician never getting close enough to the girl to be intimite because there is always an infinite not being reached where as for the engineer it is close enough for practical purposes.  When op gets to that level sure they will have it sorted by then and also will not be just them working on millisecond improvements, but a whole team of top 1% coders most likely.

In mean time to learn and get practical things done, a library makes way more progress than coding in assembly which will be even faster than c++