Just trying not so confuse realistic testing with self-deception :) Not convinced testing with synthetic data can pretend to be similar to a production environment.

It is not realistic to replicate a production setup in development when you’re working with sensitive user data. I’ve worked in different contexts (law enforcement, healthcare, financial services) where we’ve had complicated setups (in one instance including a thing called pre-staging environment), but never would a sizeable team of developers have access to user data, and thus to a realistic setup in terms of size, let alone of quality of data.

I’m sorry, but doesn’t sound very convincing. The strongest (reiterated) argument is “venv is standard”, but so is docker.

Thanks, corrected

Thanks. I didn’t know this and it is very useful information.

Even if so, your unreasonably pessimistic assumption is that this would be an exclusive source of revenue. Once content is created, cross-posting is free.

Thanks for doing the maths. Actually, it does show that there’s a small, but unexploited market here. $2-3K a month is a very good income for the most of the world. And this doesn’t have to be the only revenue stream.

Could you elaborate, please. I’m genuinely interested

Looks exciting, and the basic example in the user guide seems more intuitive than pandas. Looking forward to see how it’s going to integrate with bokeh and plotnine, though.

Upfront analysis and design is very close to independent from the technology, particularly at the I/O level

Q: what do we do? A: profile and decompose. Should not be that distant as a thought

Definitely my preference. However, for someone just starting (and not used to pressing TAB or calling help() ), an empty prompt might be intimidating.

That’s why I typically suggest interactive tutorials, e.g. any of these two: https://www.learnpython.org/en/Hello%2C_World! https://futurecoder.io/course/#IntroducingTheShell

If you do that, nothing will actually be checked. You need to explicitly run pyright in CI.

Are you suggesting that you prefer to do the type validation upon execution? I’d like to have the checks done beforehand, be it in the IDE during coding or in CI. This way the feedback loop is shorter.

Then, backwards compatibility is a big thing in python, unlike node. So when typehints were introduced in 3.5 with PEP 484, they had to be optional.

At least Typescript defines the semantics of its type hints. Python only defines the syntax! You can have multiple type checkers that conflict with each other!

It is a bit more complicated than that. Here’s a quote the above-mentioned PEP (3.5 was back in 2015, we’re at 3.12 now and typehints have evolved):

Note that this PEP still explicitly does NOT prevent other uses of annotations, nor does it require (or forbid) any particular processing of annotations, even when they conform to this specification. It simply enables better coordination, as PEP 333 did for web frameworks.

https://peps.python.org/pep-0484/

The relevance of the post to the community should be made clear by the contents of the post. As it currently stands, there are no indicators that the event would have any influence on Iran’s support for the Russian invasion.

Yup, @tearsintherain@leminal.space, what you’re engaging in here is pure whataboutism. Fox, Carlson and company would’ve happily helped here, but they didn’t. NYT did.

Researching on time and place of arrival is a nice gift for anyone who wants to intercept these and is being cut off from doing this research themselves.

Have you looked at this one? https://pypi.org/project/onboot/

I guess the answer at this point in time is: it allows you to define the function replacements that matter to you in pnk.lang. But if so, ksh is not a first choice for maintainable code.

So it boils down to: can it “transpile” (transpret rather) its own code?

Even looking into the readme and pink.lang, I’m still unsure what this does. I can imagine, but one single example would be nice. Bonus points if it is actually something useful

On the readme in GitHub it appears that “any” excludes MySQL and SQLite as destinations, and this among the dozen or so DBMS they care to list