ProgrammerHumor

notCommonYetInteresting

notCommonYetInteresting
https://i.redd.it/f0dmb69w7vbf1.jpeg
Reddit

Discussion

Sockoflegend

Daring today, aren't we? 

15 hours ago
seoizai1729

hey ChatGPT, rewrite my iOS app in rust.

15 hours ago
rover_G
:c::rust::ts::py::r::spring:

That’s a great idea, Rust is blazingly fast and offers industry leading memory and thread safety. It’s decisive decisions like this that make you such a brilliant engineer.

14 hours ago
platinummyr

I hate how accurate this is

12 hours ago
salvoilmiosi
:c::cp::py::ts::js::j:

It's not just blazingly fast — it's also thread safe by default.

9 hours ago
poshikott

Haha C++ fast Python slow so funny

15 hours ago
mrwishart
:cs:

You forgot to add some unnecessary whitespace to your comment

11 hours ago
LexaAstarof
:py::rust::c::j:

At least they did not add superfluous braces to it

11 hours ago
Borno11050
:cp: :ts: :rust:

``` int ret = system("python main.py");

```

12 hours ago
nobody0163
:c::cp::cs::py::ts::asm:

Wow, so interesting. Definitely haven't seen this one before.

15 hours ago
RedBoxSquare

It does segfault almost immediately. But it's fast, don't you agree?

14 hours ago
private_final_static

Of all the things that never happened, this never happened the most

15 hours ago
Ba_Ot

The fastest things on earth .. to fail

15 hours ago
WaltzIndependent5436

It fails 10x faster and I've never seen the cli outputting so many mistakes so fast. Thing's going great.

15 hours ago
MinosAristos
:py: :ts: :cs:

It fails very quickly if we ignore compile time.

8 hours ago
Unupgradable
:cs::ts:

r/keming would like pyfhon

14 hours ago
fallenmonk

I enjoy the implication that planes fly at 2/3 the speed of light

12 hours ago
Emergency_3808

I once wrote a program in python to find the Nth fibonacci number in log (N) time (and using arbitrary precision integers which are the default in Python). It took a full minute to compute the 20000th fibonacci number.

I did the same program in C++ with Boost multiprecision integer library (boost::multiprecision::cpp_int). Took 8 seconds. Then I did it again but in addition with GNU Multiprecision library (boost::multiprecision::mpz_int). Took 109 milliseconds.

This meme is quite real for CPU bound jobs. If you deal mostly in I/O and database processing then go ahead in Python.

9 hours ago
moonfanatic95

Several memory leaks later…

15 hours ago
Ronin-s_Spirit
:js:

You can still leak in GC languages.

10 hours ago
Scrawlericious

Downvoted for speaking the truth. You aren’t suddenly immune to memory issues by switching to python. There’s a multitude of easy ways to create a memory leak in python.

8 hours ago
bassguyseabass
:cp:

Python is known for its memory safety that’s why critical devices use it exclusively.

11 hours ago
WernerderChamp
:g::j:

Had to bruteforce something for a ctf challenge. 229 combinations. Only took 20 seconds with golang single-threaded.

Somebody said his python implementation took 80 mins... (althrough that might have been shitty coding).

12 hours ago
le_birb
:py:

That many iterations in pure python? Yeah I'd believe it tbh. Python just isn't built to do that kind of thing. I do some computational physics type stuff, and I once did a comparison between an integral done with numpy's sum() and with a pure python nested for loop, and numpy took milliseconds while the pure python took minutes. Probably a library out there that can do it for you, as that's the true python way.

1 hour ago
WowSoHuTao

skill issue

2 hours ago
Snezhok_Youtuber
:rust: :py: :ts: :c: :g:

Nowadays is mostly Rust😉

15 hours ago
gandalfx
:ts::py::bash:

Was it worth it, though?

13 hours ago
Revexious

Something something BLAZINGLY fast

10 hours ago
jigglypuff_sleepyhd
:py:

Have a question for the other devs, so will migrating from python to c# be a good strategy to make it faster? It's Az fn apps with APIs in them

13 hours ago
renrutal

If the program is CPU bound, maybe.

If it is I/O bound, definitely not.

(Assuming the dev coded it properly)

10 hours ago
atomicator99

It would speed up CPU bound tasks being run in pure python - if it's IO bound / library bound* it won't make a noticeable difference.

*I can't think of a better term - many widely used Python libraries (such as numpy) are written in a low-level languages, and perform about as well (often better, as they tend to be very well optimised).

8 hours ago