621–630 of 993 posts
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Are you saying that python is good for the 90s? VB6 was good for the 90s. But that's not really relevant to what language to use now.
No, not at all, I'm saying if you had been a C programmer in the 90's you would have some perspective on some of the complaints and comments about python in 2019.
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Here's a simple but less-than-completely-documented way to keep Python package management under control: 1. Don't install anything globally. Don't pip install --user, definitely don't sudo pip install. 2. For each project you want to work on, create a venv. Yes, there are tools for this, but the base venv tool is totally fine. (venv should be included in your Python, but a few distributors like Debian put it in a sep…
Herein lies my problem. If I want to start a Node project I run `npm init` and then `npm install --save` to my heart's content. If I somehow manage to mess it up I just delete node_modules/ and install again. If I want to start a Python project I have to set up venv and remember to put relative paths in front of every command or else it'll run the system version. Sounds simple, but it's still something to always reme…
$ mkproject foobar
$ workon foobar
You're set
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> Probably Go will be the next hotness in 5 years. I think it will be difficult to grow a large ecosystem for a language with very poor FFI performance [0] in the long run. Golang's poor FFI performance is the number 1 reason I wouldn't use it for my own projects. [0]: https://github.com/dyu/ffi-overhead
People gripe about the strangest things. After using Go almost exclusively for about 18 months I have had to interface with existing C libraries exactly zero times.
With python, why is it so popular currently? For large part because of its very good data science and machine learning ecosystem. And why does that exist? Mostly because python libraries like numpy, theano, and scikit-learn were built on top of mature, high-performance C libraries like OpenBLAS, LAPACK, and Cuda.
I very much doubt that anything like scipy would exist if the developers had to reinvent the wheel of the underlying numbers libraries from scratch. C's been around a long-time. There's huge amounts of high-quality mature software that already exists in a C framework. A language's ability to easily "plug-in" to the C ecosystem is a major leg-up when it comes to bootstrapping its own comprehensive library ecosystem.
Holy Crap! What a lot of irrational, hyperbolic hate for Python. I think everybody should spend their first couple of years working in Fortran IV on IBM TSO/ISPF. No dependency management because you had to write everything yourself. Or maybe [edit: early 90's] C or C++ development where dependency management meant getting packages off a Usenet archive, uudecoding and compiling them yourself after tweaking the config…
Agreed. I really don't understand all these buckets filth being poured on Python in this thread. It's a first language I worked with in my life that just clicked with my brain and doesn't just drain me. I would take a Python job over a Java/C/C++/Go/Rust any day. There's some languages that could pull me away from Python (Nim, Crystal) but they're nowhere popular enough to move wholesale to them.
Python has a lot of problems that really slow down development, but they are all fixable. The biggest issue, in my opinion, is in dependency management. Python has a horrible dependency management system, from top-to-bottom. Why do I need to make a "virtual environment" to have separate dependencies, and then source it my shell? Why do I need to manually add version numbers to a file? Why isn't there any builtin way…
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So, as someone who spends maybe 20% of their time hiring, it's still a very effective screen. You wouldn't believe how many people can't do it. People at big companies, respected places. It's surprising.
Wow, that's depressing. I used a different screen (having people make change based on an arbitrary amount, so if the input was 81, you'd return [25, 25, 25, 5, 1], as we were in the USA) and it was also helpful. I didn't track the number of people that it stymied though.
(I always feel weird talking about interview questions publicly, but honestly anyone who prepares that diligently deserves to go to the next stage. If anyone's reading this because they're preparing for an interview with me and I ask this question, just mention this comment and I'll be impressed.)
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> I'm not really sure what your point is in criticizing "farming" to C. If Python is so great how come it can't even express a decent data structure that it needs? I'll happily level the same criticism at Ruby if you like. > You made a false claim. Firstly: This is not High School Debate Club. There isn't some kind of point system. Language and expectations like this are not only counterproductive (in that they essen…
> Language and expectations like this are not only counterproductive ... they're also tedious and unwelcome. Who gets to be the language police? I'm fine with "High School Debate" but "verbal ripostes in which the goal is to be most right rather than learn the most" is not an accurate description of that.
But I won't engage with someone who does this the same way, because they're not engaging me as a human. Unless, of course, they're already dehumanizing me (as occasionally happens on this website) and then I don't feel quite so bad about it.
Python has a lot of problems that really slow down development, but they are all fixable. The biggest issue, in my opinion, is in dependency management. Python has a horrible dependency management system, from top-to-bottom. Why do I need to make a "virtual environment" to have separate dependencies, and then source it my shell? Why do I need to manually add version numbers to a file? Why isn't there any builtin way…
saddened to see this poorly constructed comment berating python at the top of this thread. the author seems to have some personal issues with the language given the generally frustrated tone of the comment. the entire comment could have just been 1 line "We need official support for a modern package management system, from the Python org itself." which would be consumed as constructive feedback by all readers with th…
Holy Crap! What a lot of irrational, hyperbolic hate for Python. I think everybody should spend their first couple of years working in Fortran IV on IBM TSO/ISPF. No dependency management because you had to write everything yourself. Or maybe [edit: early 90's] C or C++ development where dependency management meant getting packages off a Usenet archive, uudecoding and compiling them yourself after tweaking the config…
The winning thing python had that nothing else had at the time was it was social, it was readable, and there was generally only one way to do things: the right way. It no longer has the latter quality, and the preferred coding style in it seems to be java-ish OO-spaghetti, but it's still pretty good.
That said, these days, I resent every damn time I have to use it. It's eating data science, more or less because pandas and scikit is ... mostly good enough, and because unlike R it's .... mostly good enough to deploy in an enterprise application. But if you're working on the exploratory side of data science, Python is shit compared to R. Doesn't have the tooling, doesn't have native facilities, and is vastly more long winded. All the attempts to make Python more ... X ... are probably a mistake also. You're taking a beautifully simple tool and making it more exotic and complex. It's like trying to use Matlab to build webservers.
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Do you think this is at least partly due to one usually being frustrated by your "official" work? Or would you prefer something like Java? I can imagine other people's code in Python frustrating myself, but if it is only my own code base then Python is a rewarding language for me.
It's hypothetical so I can't say for sure, but I did work a lot with the JVM and I used Clojure (and I'd probably use Kotlin now as well) and I didn't feel as burnt out as I do now.