I can see the background tasks framework getting a lot of use!

thank you!! :)

thank you :)

Try running anaconda-navigator in your terminal.

How's the performance. I would think that would be the #1 issue of not using python for this kind of implementation.

Instead, I asked my friend Karthikeyan Singaravel, who is a Python core developer, and he recommended using the deadsnakes PPA for Ubuntu to install any version of Python that I chose.

I don’t know who needs to hear this, but deadsnakes is noob bait. It has some utility and convenience for sure, but it’s not portable and will probably hold you back long-term.

Unless you’re running bleeding-edge releases and need managed updates, just pull a tarball from python.org, and follow the README using make altinstall. You can do it; I promise.

If you are in the bleeding-edge camp, conda or uv are more flexible options that fill the same niche and more.

How old is this article? There hasn't been EnvironmentError since py33

Had to look it up.

Your point still stands, ignoring Exceptions bad. The next thing would wanna see are the unit tests. If those are nonexistent then of course the code is gonna be buggy. The hint is that you called the CLI a script. So not a package.

So it's a good thing you have revisited the code and hopefully rewritten it as a package with a test suite.

Nice one, see the "Solution" link for correct answer.

Yes I understand your point, but I'm trying to reach out so people are aware and can use it in Python education. I feel it can really help beginners understand tricky concepts with ease, bit it's hard to reach a bigger audience these days. Sorry for the repetition, I'll guess I should cut back a bit.

I appreciate you showing us this interesting tool once or twice but it's getting a bit overly self-promotional at this point.

It feels very complicated. The whole theory is better explained with any Lisp.

I see there are a few performance comparisons, but I wonder how this compares to ty. I guess it may be a while before we can really compare the two since they're both in alpha/beta.

no pycharm? no, thank you

Pyrefly is a type checker and language server for Python, which provides lightning-fast type checking along with IDE features such as code navigation, semantic highlighting, and code completion. It is available as a command-line tool and a VSCode extension.

That looks very nice and seems to hit most use cases as far as I can see in my just-woken state. If it had been easier to search for, then I might now have written mine.

I'd have to try it to see how it deals with my common case of rather a lot of numpy arrays in hierarchies if ducts or pydantic models and the floating point precision issues. Maybe it'll do that brilliantly.

I've been using syrupy.

Oh du-duoy. Forgot that list of list is a list of pointers somehow while also remembering a list is a pointer. Thanks.

Different languages make different choices. The disadvantage of Haskell is that if you want to change one value in a collection of a million values that it either makes a full copy or tries to optimize by sharing values behind the scene, both resulting in significant overhead. Most people already understand that pure functional programming languages don't deliver except in very specific circumstances: Haskell TIOBE rating 0.32%, https://www.tiobe.com/tiobe-index/

Incorrect sorry, check the "Solution" link for the correct answer.

id say B

Preferred solution: learnyouahaskell.com . For immutable data!

A

I know it's not the point of this comment, but I'll check harlequin out

I read that with a Bri'ish accent