Why Python Is So Slow (And What Is Being Done About It) (thenewstack.io)

submitted 4 months ago by dominiquec@lemmy.world to c/python@programming.dev

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[-] FizzyOrange@programming.dev 1 points 4 months ago

Yeah I was very impressed. The only problem with uv and third party tools in general is that the main reason we're using Python is because my boss didn't want people to have to install extra stuff to use it. I would prefer using Deno, but apparently a one-line rock solid install command is too much to ask compared to the mess of Python infra... smh.

[-] sugar_in_your_tea@sh.itjust.works 1 points 4 months ago

Well, I'm kind of the boss, but I inherited the Python codebase. The original reasoning was it's easier to hire/on-board people, which I think is largely true.

If it was up to me, I'd rewrite a bunch of our code to Rust. I use it for personal projects already, so I know the ecosystem. But that's a tough sale to the product team, so it's probably not happening anytime soon. I'd also have to retrain everyone, which doesn't sound fun...

However, any change I make needs to work smoothly for our devs, and we have a few teams across 3 regions. So it needs clear advantages and whatnot to go through the pain of addressing everyone's concerns.

[-] FizzyOrange@programming.dev 1 points 4 months ago

that’s a tough sale to the product team

Sounds like you're not the boss enough!

I agree Rust has a pretty steep learning curve so it's definitely reasonable to worry about people learning it, especially existing employees. Though I don't really buy the "easier to hire people" argument. There are plenty of Rust developers actively looking for Rust jobs, so I suspect you get fewer candidates but the ones you do get are higher quality and more interested.

But anyway I don't think that argument holds for Deno. Typescript is in the same difficulty league as Python. Anyone that knows Python should be able to transition easily.

[-] sugar_in_your_tea@sh.itjust.works 1 points 4 months ago* (last edited 4 months ago)

Yup, I guess not. But if I was on the product team, the customers and director ate the bosses. And on it goes up to the CEO, where the board and shareholders are the boss.

If I can justify the change, we'll do it. That's close enough for me. And I did do a POC w/ Rust and could've switched one service over, but I campaigned against myself since we got good enough perf w/ Python (numpy + numba) and I was the only one who wanted it. That has changed, so I might try again with another service (prob our gateway, we have 3 and they all kinda suck).

I'll have to check out Deno again. I remember looking at it (or something like it) a couple years ago when first announced on Reddit.

[-] FizzyOrange@programming.dev 1 points 4 months ago

Yeah I have yet to really use Deno in anger because so many people are like "but Python exists!" and unsurprisingly we now find ourselves with a mess of virtual environments and pip nonsense that has literally cost me weeks of my life.

Though if you're using Numpy that source like "proper work" not the infrastructure scripting we use Python for so I probably would go with Rust over Deno. I don't know of mature linear algebra libraries for Typescript (though I also haven't looked).

IMO probably the biggest benefit of Rust over most languages is the lower number of bugs and reduced debugging time due to the "if it compiles it probably works" thing.

[-] sugar_in_your_tea@sh.itjust.works 1 points 4 months ago* (last edited 4 months ago)

You don't have to convince me that Rust rocks. I just need to convince my team that it's worth the investment in terms of time to onboard everyone, time to port out application, and risk of introducing bugs.

We have a complex mix of CRUD, math-heavy algorithms, and data transformation logic. Fortunately, each of those are largely broken up into microservices, so they can be replaced as needed. If we decide to port, we can at least do it a little at a time.

The real question is, does the team want to maintain a Python or Rust app, and since almost nobody on the team has professional experience with low-level languages and our load is pretty small (a few thousand users; b2b), Python is preferred.