Seeing such clever use of mmap makes me dread to imagine how much Python spaghetti probably tanks OpenAI's and other "big ML" shops' infra when they should've trusted in zero copy solutions.
Perhaps SWE is dead after all, but LLMs didn't kill it...
It's not the easiest syntax, not the best compiler support, performance and threading is a joke. The entire language is based on hype back from the time when the only two mainstream languages were C++ and Java.
A long story short, in the future the AI can just convert all our code to FORTH or HolyC or some "creative" combination of languages chosen by prophecy (read: hallucination) perhaps even Python — as a show of strength.
It's the easiest among most popular languages. It uses the least amount of symbols, parenthesis and braces only for values.
Some people don't like the significant whitespace, but that helps readability.
Pull requests and stars on github? That might be a start.
https://madnight.github.io/githut/#/pull_requests/2022/4 https://madnight.github.io/githut/#/stars/2022/4
Though you may say but but alltheprivaterepos! Then I challenge you to back up what you mean by relevance and prove python is a category of relevant 15+ years ago.
It doesn’t excel at anything, but anything a software can do, it can be done in Python somehow.
So, a great pick when you’ve got no idea where you’re going to, when you’re prototyping, when you don’t care about performance or perfection.
I agree that for large scale systems when you already know what you’re doing, Python shows its limits quite soon (and we should add the problems with missing/slow type checking that slows down large scale systems development).
Huh? Why?
You can barely deploy it to Web.
it doesn't scale perfoance wise
you can't built robust abstractions
The REPL is merely OK
You can barely ship working code without containers
the syntax is hard to manipulate programmatically
Python has inertia but it's holding us back
is there any evidence that this makes it easier?
people learn python as beginners because it has a reputation for being easy for beginners
I don't see anything about the syntax that makes it inherently easier
Compared to what? Unindented or badly indented code in other languages?
In other languages you can move code around and it still works - and nobody prevents you from adding whitespace for readeability (it may be even done automatically for you).
If there was a superior alternative that covers the breadth of the Python ecosystem I’m pretty sure no one would have any scruples in using it. A programming language and its syntax is the least interesting or complex part when it comes to solving problems. Just rattling off some amazing libraries I've used over the last few years:
https://scikit-image.org - Image processing
https://imgaug.readthedocs.io - Image augmentation
https://scikit-learn.org/stable - ML
https://pymoo.org - Multi objective optimization
https://simpy.readthedocs.io/ - Discrete event simulation
https://lifelines.readthedocs.io - Survival analysis
https://bambinos.github.io/bambi - Bayesian modeling
https://unit8co.github.io/darts/ - Time series forecasting
https://abydos.readthedocs.io/en/latest/abydos.distance.html - Basically any string distance metric you can think of
The list just goes on and on.. oh yeah, some Deep Learning libraries too, which some people find useful.
Having said that, I've deployed two large Django projects on the web with tons of customers and it runs and scales just fine, and it's a DREAM to maintain and develop for than for example Java.. I would go so far as to say the opposite, if you haven't used Python for web deployment you've been missing out! (you lose some efficiency I'm sure but you gain other things)
I liked the one way of doing most things philosophy, coming off working on a large C++ code base.
The trope about it being the 2nd best language for everything isn't correct. It's taught in universities because it has a very short time to gratification, and the basic syntax is quite intuitive. Academics latched onto it for ML because of some excellent libraries, and it became established as a vital part of the ecosystem from there.
But it's a nightmare to support a moderate to large codebase in production, packaging continues to be a mess, and it's full of weird quirks. Great for weekend projects, but for pete's sake take a minute and port them into something more reliable before going to production with them.
Sure, but that is the gun, especially (as reflected in your examples) for machine learning. The best frameworks (PyTorch, TensorFlow, JAX) are all Python, with support for other languages being an afterthought as best.
The use of scripting languages (Python, Lua - original Torch) for ML seems to have started partly because he original users were non-developers, more from a math/stats background, and partly because an interactive REPL loop is good for a field like this that is very experimental/empirical.
Does it make sense that we're now building AGI using a scripting language? Not really, but that's where we are!
Python is more readable than C. Way better than C++. Far simpler to reason about than Java. Maybe Typescript is on a similar level, but throwing a beginner into the JS ecosystem can be daunting. Perhaps Ruby could be argued as equally simple, but it feels like that's a dead end language these days. Golang is great, but probably not as easy to get rolling with as Python.
What else? Are you going to recommend some niche language no one hires for?
The square brackets alone make it a winner. Array, list and strings indexing. Dictionary lookups. Slices and substrings. List comprehensions. The notations convenience of this alone is immense.
Built in list, string, and dicts. For the 90% of code that is not performance critical, this is a godsend. Just looking at the c++ syntax for this makes me never want to use a stl data structure for anything trivial.
Ocaml is very niche, I feel it’s an hard sell for a general purpose language. Haskell, 3x that.
JS and TS, could be. But are they so much better than Python, if better at all?
What's happened to the popularity of all of these languages since 2010? Outside of JS/TS, absolutely nothing. If anything, they've lost mindshare.
You could run notebooks entirely client side https://jupyterlite.readthedocs.io/en/latest/
The startup is slow but otherwise it is pretty functional.
.NET has P/Invoke which is much nicer.
JVM is getting Panama+jextract, which is the nicest yet. You can go straight from header files to pure Java bindings which don't need any extra native code at all. But it's not shipped yet :(
Strong disagreement. Explicit types make reasoning about Java much easier, especially when you are in an unfamiliar codebase.
Python is not quite the 'write-only' language of Perl, but it is a lot easier to write it than it is to read it.
Even if it doesn't have the best syntax now (which I doubt), the tooling and libraries make it a better choice over any language that have an edge over python syntax.
You’d do better complaining about still nascent, compared to alternatives, async support or lack of jit in the official implementation.
The forced use of spacing to delineate blocks means you will never see a bunch of brackets eating up screen space and the common error where someone adds another line to an if statement but doesn't add braces.
Semicolons not being conventional means less screen noise and less code golf 1 liners.
The focus on imperative vs functional means you rarely ever see something like this a(b(c(d(e(f(g))))
PHP suffers greatly from poorly named standard functions on top of all of that.
Don't get me started on Ruby metaprogramming.
These are just the things I could think of off the top of my head. I do not want to spend my afternoon on this. This is just my experience looking at code for over 20 years, you either believe it or you don't. There's no scientific studies to prove that 1 syntax feature is superior.
I highly doubt that everyone chose python just because Google did. Python was a giant step in syntax compared to the competition back then, and now even if there is a new language out there right now that has a better syntax, it's not going to be better by much, and it is not going to have the tooling, libraries, or the community.
Maybe, not sure? My point was that both the syntax and Google using it was more relevant 15 years ago than now.
(I don't have much of an opinion on the 15+ years ago thing.)
Python concrete syntax is harder to manipulate programmatically compared to Javascript concrete syntax.
For instance, to insert one statement into another, we need to traverse the lines of that syntax and add the right amount of indentation. We can't just plant the syntax into the desired spot and be done with it.
Is python syntax worse than any brand new languages like rust or go? Absolutely not. It's still better.
Did Google stop using it? I don't think so, but I also don't think people picked it just because Google did.
The impression about Haskell’s nicheness compared with OCaml prevails. But Haskell has a larger userbase and a larger library ecosystem than OCaml.
Btw, I wish they would take some inspiration from Haskell's syntax.
Haskell also has significant whitespace, but its defined as syntactic sugar for a more traditionally syntax with curly braces and semicolons.
Approximately no-one uses that curly-brace syntax, but it's good for two things:
- silences the naysayers
- more importantly: allows you to copy-paste code even into forms that mess up your indentation.
At the time I evaluated other languages to learn, narrowed it down to Ruby and Python, and picked Python as I felt it had a nicer syntax than Ruby. And the "one way to do things" philosophy. This was back in 2005 or so.
What other languages of that period would you say had a nicer syntax than Python?