71–80 of 224 posts
Yes , but the young contenders already exist. If Nim gets more traction , over time it may replace Python.
So, bring 'em on.
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Package management was so frustrating coming from Ruby to Python. There are so many programs, and version conflicts that I run into all the time. With gems and bundler, it was rare if things didn't work.
If you get into the habit of making a virtual environment and requirements.txt in every repo then it's smooth. Just activate the env when you're using the repo and use vanilla pip install to install dependencies. Then pip freeze them into the requirements file. It's a very similar workflow to a gemfile and bundler.
That said, I have been doing ruby since before Bundler, and I really have to take my hat off to what Yehuda and company accomplished with Bundler. It was both a technical and open source community triumph to get Bundler done, stable and covering the breadth of use cases it applies to.
TL;DR: Slightly interesting but narrowly focused article with clickbait-ish headline. It charts the growth of Stack Overflow python question views in the last five years. While this is an interesting statistic there is no additional analysis that it correlates to python's usage growth. And no hypothesis is given for the growth in question views, although they tease a future post about that. It would have been far mor…
> While this is an interesting statistic there is no additional analysis that it correlates to python's usage growth. You believe that Python would ever generate more questions over time on SO without getting more users/usage? I guess the mysterious dumbing down of a stable user base is an alternative explanation.
Never underestimate how far users of "sunset technologies" will go to convince themselves that their skill set is outdated. Heck, Embarcadero's C++ product manager insists that "customers tell him" that Delphi (Pascal!) is "five times more productive than Python" and he actually believes this too. The Delphi product manager, meanwhile, told me he sincerely believes that Delphi has had more of an impact on the business world than Python ever has. Meanwhile, the former VP of Developer Relations once polled the first 500 people to upgrade to their newest release of Delphi, crunched the data, and concluded that users really love Delphi (of course, the many who felt the upgrade was light on features and high on price and chose not to upgrade weren't reflected in the data).
It makes me want to pull my hair out.
Yes , but the young contenders already exist. If Nim gets more traction , over time it may replace Python.
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Really? Pip should be pretty straight forward. Maybe you use different libraries than I do.
But be sure to use Pip into this year's flavor of virtual environments rather than globally, since you might have multiple projects that need different versions of the same package. And be sure to run the right version, I've seen situations where a computer had python 2 and 3 installed, somehow python3 became the default when running "python" but if you ran "pip" you'd get dumped into the old version. And if your edi…
Of course each project needs it's own virtualenv. In fact, each project should have it's own docker image. Why install an application library to the entire system? That is not a good idea in ANY language.
And of course scripts need to use the right virtualenv. Or better yet - why not put each app in it's own docker? That bundles up everything into a single "file" you can run on command.
All of these things you are listing as downsides seem like things that one normally moves away from, when they put a codebase in git and stop deploying to prod by copying a few files to a shared network drive and restarting the server?????
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Really? Pip should be pretty straight forward. Maybe you use different libraries than I do.
I do mostly Ruby professionally and dabble in Python, and I agree with heydonovan. Pip works fine for installing things, but near as I can tell, Python has no equivalent of bundler - a tool to install specific versions of a bunch of libraries, generate a lockfile ensuring that your production server and all of the devs are all running it with the same version of everything, and letting you have as many versions of a…
Pretty simple, no? Most any python project I have seen in the last 5-6 years uses it.
Python 2 advocates were quite firm in telling us that Python 3 and its incompatibility with Python 2 had killed Python and people would abandon Python altogether in droves for other languages. This post is suggesting the opposite, that Python is more healthy than ever and growing incredibly fast.
I really don't know where this is coming from. The only people I hear talking about a 2v3 divide are my Javascript developer friends, who are saying that as outside observers. As a Python dev, I (and all the other Python devs I know) were just waiting for (and helping) libraries to start working with 3 before we can switch over. These days, all my new projects are in 3, 2 is pretty much for legacy code only.
We've standardised on Python and we're migrating all of our systems to Python / Django / Postgres from PHP / Drupal / WordPress / MySQL. We started out with one senior Dev on the Python stack, and simply found that the productivity on Python/Django just too compelling to stay on PHP. The (senior) Dev on Python had a couple of highly successful projects which resulted with him getting some junior Dev support. Then the…
There is nothing inherently "more productive" on one stack over the next. It's just technologies which are fundamentally similar.
A competent senior dev on the python stack would be just as productive as a competent senior dev on a php stack and vice versa.
It just seems like you found a good python developer who knows what he is doing.
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Did you actually read the article? Of course generating more questions is likely indicative of more usage. But the graph shows it from being in last place (of the listed languages) in 2012 with ~4% of the question views to being first place right now over all other languages with ~10% of question views. Python has grown a lot over the past 5 and especially 10 years in wide usage but I've seen no other evidence that t…
> Did you actually read the article? I did, but I also read the comment: "While this is an interesting statistic there is no additional analysis that it correlates to python's usage growth" -- which is what I responded to. > There are many possible explanations of a more indirect correlation that could be skewing the numbers in unexpected ways but none are discussed in the article. Like what though? Aside from some k…
To put it another way: do you believe that the first graph in the article directly represents programming language usage percentiles, in the field, over five years? I'm guessing not. I certainly don't.
Here is a graph of programming language popularity on github from 2012-2014:
https://www.loggly.com/blog/the-most-popular-programming-lan...
While this metric is arguably just as fuzzy as any other, the lines in the this graph definitely seem to agree with my gut feeling for language percentiles during that period. I'm not trying to say that my "gut feeling" has any significance. I'm just re-emphasizing that the article didn't give me any useful insight into the significance or meaning of the Stack Overflow statistics. I couldn't find an equivalent chart for the years since 2014 but would love to see one. Either way, it's not like python was ever far behind. It was basically in third place in both the beginning and end of that time period. But in the beginning of the SO chart it's in sixth place. And the SO chart doesn't even include ruby, which is ahead of python in 2012 in the loggly chart. I guess people really don't go to SO for ruby questions? It's certainly possible that the quality of answers on SO for different languages has a lot of variance, which is one possible explanation for the difference. Maybe python questions in 2012 on SO weren't that good. In my experience I'm far more likely to check the python docs before I go looking on SO. Maybe there were changes in google rankings for certain things. Maybe there were certain types of articles that took up the lion's share of growth, like "how to port to python 3", which could have brought existing python devs back into heavy view rotation. Python has also gotten a lot more complicated with things like asyncio, etc., which could again draw more article views but not be directly related to usage growth.
python has a cool name. as time goes on new kids learn to program. kids choose the programming language with the cool name.
Maybe you could use pytorch for this? It seems like a supervised learning problem.