mariokostelac

6 ms·

1.
by mariokostelac 6y ago
It is unclear to me whether it's archived because they've done everything they wanted or they just stopped all the efforts?
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by mariokostelac 6y ago
It's pretty refreshing that people have courage and start ambitious projects like this one :). I hope projects like this get some traction and prove that we can move higher level than where we are atm with the frontend/frontend-ba
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by mariokostelac 6y ago
Thanks a lot for the reply. I'll include it some time soon in the article update
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by mariokostelac 6y ago
Thank you :)
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by mariokostelac 6y ago
It's just about backward compatibility. If you don't run the exact version of python that's running in production, how do you know that you're not using some method that does not exist in production yet (because you run
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by mariokostelac 6y ago
Docker is definitely an interesting tool for that, but my biggest problems is that I have to teach them Docker, which is a totally new layer of abstraction they haven't seen before. How do you approach this? How technical are people yo
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by mariokostelac 6y ago
Does it pin versions of 2nd degree dependencies too? Like pip freeze would do? Also, when you remove a package, does it know to clear packages that were its deps and are not needed anymore?
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by mariokostelac 6y ago
Thanks for mentioning it! How would you compare it to the other tools from the original post?
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by mariokostelac 6y ago
I think this is not a problem specific to python packages, but a general problem of how we compile C/C++ software. There is no concept of packages and compiling one thing often requires installing a -dev package of some other library.
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by mariokostelac 6y ago
Hey xapata, thanks for pointing this out. Any chance you could give me some reference so I can fix it in the original article?
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by mariokostelac 6y ago
I think that works when you use Python cli tools, but not when you're working on 5 different projects, each running different python version.
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by mariokostelac 6y ago
How come other tools don't just replicate successful models?
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by mariokostelac 6y ago
Unless you're in data science. Then you'll be split between conda and pip, which is worse than npm and yarn. You can always swap npm and yarn, but can't do that with conda and pip.
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by mariokostelac 6y ago
That's very true. Starting fresh definitely helps. I would not say JS solved it, but yarn (and even npm these days) seem to be superior to all python dependency management tools before pipenv. None of them had a proper lockfile, for ex
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by mariokostelac 6y ago
I agree with you that Docker should not be there, but the reality is that people us it to replace some other tools (like venv). I wonder why you prefer the former approach.
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Overview of Python dependency management tools(modelpredict.com)
210 points by mariokostelac 6y ago|178 comments
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by mariokostelac 6y ago
It's 2020, but the python community still has not converged to a small set of sane solutions. It seems to me that Ruby, PHP, JS, and Rust communities have solved the problem.
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DS: Start structuring your code like a software engineer(modelpredict.com)
4 points by mariokostelac 6y ago|0 comments
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by mariokostelac 9y ago
No, not yet :)
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by mariokostelac 9y ago
No :). Started with Postgres long time ago, switched to MySQL. Added MongoDB into the mix. Removing MongoDB from the mix.
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How we test 200k lines Ember application in less than 10 minutes. Again!(medium.com)
2 points by mariokostelac 10y ago|0 comments
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by mariokostelac 10y ago
This is definitely a must read. A very systematic approach of explaining different concepts with real examples, problems each solution brings and tradeoffs we do by choosing approach A vs approach B. Not sure if I can recommend any technica
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Mitigate your MongoDB being down because of #dynect(twitter.com)
1 points by mariokostelac 10y ago|0 comments
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by mariokostelac 12y ago
This application is temporarily over its serving quota. Please try again later. :)
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BitTorrent Sync is out(bittorrent.com)
2 points by mariokostelac 13y ago|0 comments