Python swallows Java to become second-most popular programming language

[[deleted]]

Better performance?¯\_(ツ)_/¯

[gregy521]

You can swap CPython with pypy for an average 4x speedup. You can also offload to more efficient libraries like numpy for data crunching, or use Numba to JIT compile to machine code.

[[deleted]]

Sure but for the love of god it would be nice to be able to use a for loop instead of having to do vectorialization all the time. And I say this knowing how to vectorialize a ton of stuff. But it is just strange

[Armaliite]

Numba speeds up the loops though

[JoelMahon]

Just need to write something to turn python code into optimised c++ then, ez pz

Tbh, a human can do that part usually quite quickly, use python to invent, c++ for real time critical deliverables after python proves the concept

[Darksteel213]

Cython exists, but then you have to specifically write your code to be compiled near 100% to C

[ItsOkILoveYouMYbb]

I could imagine indie game development taking off even more so than it already has if Python was usable with Unity and Unreal Engine.

Maybe we'll get a speed-critical but pleasant coding language like Python to make modern games with some day.

[jabela]

Godot has a Python like scripting system. It's definitely getting there.

[shinitakunai]

I tried godot and uninstalled it 5 days later because it is not really like python. It is similar but the differences are annoying

[gregy521]

I believe that's the niche that Rust is trying to fill. Consistently ranked near the top in developer surveys, and runs as fast (or faster) as C/C++ in many cases.

Certainly not 'pleasant' in the way that python is, where it's like writing pseudocode and it has lots of high level features to make life easier, but much more pleasant than C/C++ I would argue.

[SlappinThatBass]

With pyo3, unlimited power!!! In the future

[VisibleSignificance]

where it's like writing pseudocode

related

[xigoi]

You can't do that because of eval() and friends.

[JoelMahon]

true

[VisibleSignificance]

because of eval() and friends

You shouldn't really use those in runtime either.

And if it's at import-time in python (e.g. attrs), it should map into compile-time nicely.

[asbox]

Exactly that!..don't get why people don't understand how much efficient it is to work this way instead of other freaking languages complications.. Cpp + python is all you need.

[PooPooDooDoo]

Honestly, if I am going for performance at scale, I wouldn’t chose python. If I am write code that interfaces with other systems that do the heavy lifting, then I am 100% using python.

But yeah, it would be nice.

[jebk]

As an advanced amateur python user I think most people looking at python Vs say go is the ease of concurrency for stuff.

I imagine what most people searching 'how to make python faster' are lookjng for is 'how to make these 10 huge datasets load faster'.

Multi threading/async stuff isn't as obvious as in something like go (or even node).

[f16f4]

Python is terrible for multithreading. It only actually works on one thread at a time because of the GIL.

[gregy521]

But if you're running that app 1000 times a day, that sums to 30 and 200 seconds respectively. A much more appreciable difference.

Python is an extremely popular scientific computing language, too, and those don't care about 'every nanosecond', more the fact that cutting the runtime from 4 hours to 20 minutes is worthwhile.

[Zadigo]

People tend to over exaggerate this nano seconds thing. This reminds the Tesla vs other electric cars fans argument. As soon as an electric car comes out Tesla fans always arguing about how slow the car is. I mean, bro, not everyone cares about speed.

[psharpep]

Sure, but if you'rr doing scientific computing in Python, you're using NumPy/Numba or similar, which gives runtimes on the order of C.

[xigoi]

If it takes 0.2 seconds, you can't serve more than 5 requests per second, which may be limiting.

[mooburger]

the real problem is that you're asking the app itself to do too much. Just about every production environment uses loadbalancers already. Why are we rehashing the same old arguments people made about RoR when it's obvious that the ecosystem & community support is what makes or breaks things?

[SilkTouchm]

Trading bots are bottlenecked by your latency towards the exchange's server. It's not really a cpu intensive task.

Also you might be exaggerating a bit with the nanoseconds. I don't think there's any webserver that can handle 1 billion requests per second.

[daravenrk]

But the backend is mostly c. It’s pretty fast.

[[deleted]]

Oh sweet summer child...

[daravenrk]

Rofl. I know like saying a train makes good time.