201–210 of 269 posts
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If I did that I'd have no harddrive space left due to how large python dependencies are.
Wat? What dependencies? I have right now 100 separate Python projects which each have their own venv, their own isolated dependencies, and their own isolated copy of Python itself and my code dir doesn’t even crack top 10 hard drive space.
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Keep in mind that Python is 31 year old (it's even older than Java) it was created around the same time as world wide web. So it started when no one even knew they would need dependency management and evolved over time from people posting packages on their home pages, to a central website to what we now call PyPI. Similarly the tooling and way of packaging the code evolved. What you described are multiple tools that…
Being 31 years old doesn't preclude having a decent, official and reproducible way of installing packages in 2022. That's just a bad excuse to justify subpar package managers and terrible governance around this problem. Package management is pretty much a solved problem, no matter how old is your language. It smells to an outsider like me like a lot of bike-shedding and not enough pragmatism is going on in Python lan…
>sharing your code is even pain with colleagues even if they are using the same operating system, mainly because the Python requirement file doesn't pin dependencies, wat? Pretty sure you can use == in requirements.txt Also, its very possible, and quite easy to just include the code for the library in your package, which effectively "locks in" the version. We did this all the time when building AWS lambda deployments…
This comment section itself clearly shows how crazy dependency and environment management is in Python. In this thread alone, we've received instructions to... - poetry - "Just pin the dependencies and use Docker" - pip freeze - Vendoring in dependency code - pipreqs - virtualenv This is simply a mess and it's handled much better in other languages. I manage a small agency team and there are some weeks where I feel l…
Coming to that from hearing stories that there was supposed to be one way to do everything disenchanted me quickly.
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Being 31 years old doesn't preclude having a decent, official and reproducible way of installing packages in 2022. That's just a bad excuse to justify subpar package managers and terrible governance around this problem. Package management is pretty much a solved problem, no matter how old is your language. It smells to an outsider like me like a lot of bike-shedding and not enough pragmatism is going on in Python lan…
But Python has a decent and a reproducible way of installing packages. The problem python has is that things evolved over time, so you can find on the net plenty of outdated information. There is also a lot of blogs and articles with bad practices, most written by people that got something working. I think also a lot of issues with packaging is ironically because of PyPA that supposed to work on a standard, but in re…
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I really like the walrus operator. It's helped me to create more straightforward if/elif blocks and loops. Effective python has some pretty good examples. https://effectivepython.com/2020/02/02/prevent-repetition-wi...
This really isn't a good argument though: it's an extra, extremely specific use case for assignment that looks visually very similar. And worse, effects code maintainability - if you need that assignment higher up, you're now editing the if statement, adding an assignment, plus whatever your interstitial code is. Python doesn't have block scoping so the argument for it is weak.
while (n := s.read(buffer)) != 0:
#do something with first n bytes of buffer
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If I did that I'd have no harddrive space left due to how large python dependencies are.
Wat? What dependencies? I have right now 100 separate Python projects which each have their own venv, their own isolated dependencies, and their own isolated copy of Python itself and my code dir doesn’t even crack top 10 hard drive space.
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WSL is a fully fledged VM under the hood, it's just well integrated.
MS call it a "lightweight utility virtual machine", and "not a traditional VM experience", whatever that means. Docker also works on MacOS, with a basic linux distro running under hypervisor that again, I'm not sure qualifies as a 'fully fledged VM' (at least in terms of user access to it).
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Haven't had any issues in Go so far.
As soon as you take 2 dependencies in any language, there's a chance you will not be able to upgrade both of them to latest versions because somewhere in the two dependency subgraphs there is a conflict. There's no magic to avoid this, though tooling can help find potentially working versions (at least by declaration). It's often the case that you don't encounter conflicts in Python or other languages, but I don't im…
I can't see a reason why Go would be different.
>sharing your code is even pain with colleagues even if they are using the same operating system, mainly because the Python requirement file doesn't pin dependencies, wat? Pretty sure you can use == in requirements.txt Also, its very possible, and quite easy to just include the code for the library in your package, which effectively "locks in" the version. We did this all the time when building AWS lambda deployments…
This comment section itself clearly shows how crazy dependency and environment management is in Python. In this thread alone, we've received instructions to... - poetry - "Just pin the dependencies and use Docker" - pip freeze - Vendoring in dependency code - pipreqs - virtualenv This is simply a mess and it's handled much better in other languages. I manage a small agency team and there are some weeks where I feel l…
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What if the depedencies you pinned have non-pinned depedencies? packageA==1.0.0 depends itself on packageB Therefore, you can find yourself with a different set of deps. Had a bug like this once.
Pip freeze will pin explicit as well as transitive dependencies