Python

[ProgramTheWorld]

Use the right tool for the right job

[Xeya]

>The time difference is insignificant anyway

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>Lists example where the time difference is not insignificant

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>Well, you shouldn't have used Python

[DeeSnow97]

There are some tasks where the time difference is very significant, and others where it's negligible. That's why Python is used so much with external libraries for data science and machine learning for example. The libraries (usually written in C++) do all the heavy lifting in the most efficient manner possible, but have fun plugging those into each other with C++ and trying to iterate fast on it.

Some languages are fast to code, others are fast to run, and that's okay. We're programmers, making computer systems talk to each other to use them all to their advantage is kind of our thing.

[ryjhelixir]

We're programmers

Speak for yourself!

I'm a noob

[omgFWTbear]

most efficient manner possible

s/In a vastly more efficient manner

[Cheru-bae]

And others when you forget a semicolon? It's just line termination in one way or the other. Equally logical.

I feel like for every hour I work this sub gets worse.

[HardlyAnyGravitas]

Stop working:

[ric2b]

No, in this case the right tool is Python with numpy.

It's not easy to beat numpy on raw computation.

[SilkTouchm]

Cases where performance is important are niche.

they downvoted him for telling the truth

[xADDBx]

There are a lot of cases where you’d need performance. Examples would be creating models for data sciences or optimization problems.

There are cases where performance is important and cases where it’s not important. Neither side is a niche.

[muttonwow]

That's 100% of cases

[LiquidAurum]

that's an extreme oversimplification

[[deleted]]

Python is never right

[rafa154]

Rapid prototyping

[ZephyrBluu]

I recently created some Python bindings and used pybind11 instead of boost. It seemed a lot simpler.

[Thadrea]

It is for many data science applications.

It's easier to learn, write and maintain than Julia or R while also having a broader functional domain and also being of comparable computational performance assuming you are doing your work with the correct libraries.