71–80 of 301 posts
I think Go and Angular should have died, and would already be footnotes in programming history if they had not been introduced by Google. Let's make procedural programming great again? I get it, you can compile it and it has concurrency, but there's better alternatives in my mind, unfortunately not as popular.
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python is a pretty terrible language to work with. Tooling sucks. Dependency conflicts are common. There's no test framework/runner worth a damn. Web frameworks are inferior to those in most other languages. If you're doing data science things, it's hard to beat pandas/numpy. I get that those are popular in that community because the barrier to entry with Python is low. People who are just looking for a tool to solve…
That's quite a statement. Go on, for most of the other languages, show me a web framework that's better than Django.
Python absolutely has deployment challenges, but the performance is Good Enough™ and the speed of modelling and maintaining and accessing databases in Django's ORM is so much better than anything else I've found. Its Admin interface too is superb for same-day turnarounds on little CRUD projects. Nothing comes close.
And I've written quite complex systems around Django. Ones that are multi-headed websites, APIs to physical hardware IO, ANPR, card readers, ID printers. Python hasn't let us down.
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python is a pretty terrible language to work with. Tooling sucks. Dependency conflicts are common. There's no test framework/runner worth a damn. Web frameworks are inferior to those in most other languages. If you're doing data science things, it's hard to beat pandas/numpy. I get that those are popular in that community because the barrier to entry with Python is low. People who are just looking for a tool to solve…
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python is a pretty terrible language to work with. Tooling sucks. Dependency conflicts are common. There's no test framework/runner worth a damn. Web frameworks are inferior to those in most other languages. If you're doing data science things, it's hard to beat pandas/numpy. I get that those are popular in that community because the barrier to entry with Python is low. People who are just looking for a tool to solve…
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python is a pretty terrible language to work with. Tooling sucks. Dependency conflicts are common. There's no test framework/runner worth a damn. Web frameworks are inferior to those in most other languages. If you're doing data science things, it's hard to beat pandas/numpy. I get that those are popular in that community because the barrier to entry with Python is low. People who are just looking for a tool to solve…
The thing I want is a good monorepo solution for Python. There's at least 3 for JavaScript.
As much hate as JS gets, its package managers are also much better than Pip.
In order to manage complexity of Python as you do your big projects, you really need to do "enterprisey" patterns like DI. Even though it's rare for Python programmers to write like that.
Re: test runner: pytest is pretty good
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python has problems scaling to medium-size code bases because programs above a certain size tend to become difficult to reason about. This is not a performance issue, and it’s the #1 issue that I choose to rewrite Python programs in other languages. Python type annotations help. IMO modern languages like Go and Java are pretty easy to get into and you can use them for a first implementation without really sacrificing…
The other issue with Python is that it uses indentation for scoping. Combine that with the fact that it is super easy to mess up indentation when you are moving code around via copy/paste and it is super easy to change the meaning (ie accidentally move a statement out of an if block).
Using indentation for scoping is great for small projects and for beginners. However, once you get to medium or large projects, having the extra redundancy of curly braces is reassuring.
So they switched to Go from Python, because of following advantages: #1 Performance #2 Performance (to make the list longer I guess?) #5 Fast compile time... which is an advantage over Python how exactly? #7 Strong ecosystem... which brings us to disadvantage #1 - lack of frameworks (?)
Something is odd about the timing. This article is dated "Wednesday, March 3 2021" but appears to be identical to https://getstream.io/blog/switched-python-go/ dated Oct 17, 2017 and updated either May 14th 2019 or Sep 15, 2020. Both say "Early this year, we switched Stream’s primary programming language from Python to Go", and there was HN discussion about it on Oct 17, 2017 at https://news.ycombinator.com/item?id=1…
I read somewhere on HackerNews that Python is kinda like a default language and rest such as Go, C, C++, Java are just for Optimization, once you figure out your solution.
Python has problems scaling to medium-size code bases because programs above a certain size tend to become difficult to reason about. This is not a performance issue, and it’s the #1 issue that I choose to rewrite Python programs in other languages. Python type annotations help. IMO modern languages like Go and Java are pretty easy to get into and you can use them for a first implementation without really sacrificing…
I think you're spot on. Is some ways, it is a tooling problem, as type annotations require mypy (or some other type checker), and enforcement via e.g. CI.
Crucially, retrofitting them to a codebase is a difficult and tedious problem. On the other hand, it's relatively easy to do for new projects, but so is choosing a different language.