21–30 of 179 posts
Go is the way to better backend, CPU and memory optimized.
I read an article that Dropbox save thousands just by change from Python to Go.
It's difficult, especially handling shared variables in go routines, but it's worth it.
I have just started getting into python as I'm experimenting with pytorch and after a lot of googling I'm still trying to figure out how to use conda properly. Could anyone point me to the best way to manage python environments and packages?
Tried tons of ways, and finally found peace of mind with poetry: https://python-poetry.org/ It encourages to set up project specific definitions which are saved in the local pyproject.toml file. Keeping everything local and project specific, including the env definition, turns out to be a fantastic boon to reproducibility and sanity of mind.
I don't fully agree with these arguments, but they all have some validity. I really felt his point on the documentation - it's great that it's reference-complete if that's what you're looking for, but it's maddening if you are coming to something to find out what it does.
I often find myself typing python3 import some_module dir(some_module) rather than trying to find functionality on the docs sites anymore
It does excellent fuzzy search-as-you-type, and is typically a pinned tab in my browser most of the time.
The article mentions using JavaScript in place of Python. I use JavaScript a lot for browser stuff but can JavaScript be used for the random command-line scripts that I implement in Python? (Genuine question, not rhetorical.)
I have just started getting into python as I'm experimenting with pytorch and after a lot of googling I'm still trying to figure out how to use conda properly. Could anyone point me to the best way to manage python environments and packages?
I've always found the Python standard library to have tons of useful stuff, and when I'm doing something in JS I often feel like I'm missing my toolbelt or something. Then I install a single npm package to do something simple and it winds up having 350 dependencies.
> my go-to language for a quick bit of scripting where another language might feel too heavy duty
So this article is not from someone who has used Python full time professionally...
I've been recommending Python to the occasional aspirational young programmer. Is it already passé? What would you recommend instead for a starter language? Looking for beginner-friendliness, widespread use, and longevity. edit: to be clear, I hope this won't devolve into a language flamewar. I'm sincerely interested in other devs' opinions, and hoping that either Python is still a good recommendation (which seems to…
Java, PHP or JavaScript for 'widespread use and longevity'. None of these are going anywhere, and I think you'd find more resources for beginners to advanced users for those 3. Yes, of course there's others - everyone has their faves. And Python will continue to kick around as well, but I've just never understood the 'beginner friendly' bit.
I think there's something deeply path dependent about how software people go through languages and fall in and out of love with them. Python was the first language I ever used professionally. It was amazing at the time compared to Java. But I haven't touched it in years now and don't especially want to. It's not that I "broke up" with it -- I just went elsewhere and it wasn't used there. You usually have to speak the local language wherever you go...
At a certain point, I think a lot of us give up on the idea of "loving" or "not loving" the language we use. They are all just tools. Some professional software people still have love affairs with their tools. That's cool I guess, but I have to say, I've written useful software in horrible languages (PHP) and I feel good about that too, and about not caring about the lovability factor (so to speak) of my professional toolkit.