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...not by as much as you might imagine. django Downloads (All Versions): 25082 downloads in the last day 171415 downloads in the last week 743

...not by as much as you might imagine. django Downloads (All Versions): 25082 downloads in the last day 171415 downloads in the last week 743271 downloads in the last month numpy Downloads (All Versions): 12920 downloads in the last day 80640 downloads in the last week 327163 downloads in the last month

vegabook 12y ago
I am sorry, and at risk of downvotes, web dev is a much faster (dare I say it more fickle) crowd than science. Python is not a whole lot better than Golang, Ruby and of course, Node.js at this use case. Absolute numbers are not persuasive to me here. There are far fewer scientists than web devs (your stats imply ~ 1:2). Indeed I would venture to suggest that your data means that numpy punches well above its weight relative to other languages' science:webdev ratios. Let's not forget that Numpy and its direct linear ancestor, Numeric, has been dominant for more than a decade. Show me the Python web framework which can say the same. Flask/Bottle/Pyramid/Django/Tornado - pick your fashion. Another point (to the grandparent posts): putting Numpy into a "science" pidgeon hole is erroneous. It is massively used in finance, engineering, bioinformatics, and statistics.
- hcarvalhoalves 12y ago
  > There are far fewer scientists than web devs ... and there can still be more scientists using Python than web devs using it. Python web development is niche, despite the good frameworks. If you look at job postings, it's eclipsed by RoR, .NET, Java... maybe even PHP. > Let's not forget that Numpy and its direct linear ancestor, Numeric, has been dominant for more than a decade. Show me the Python web framework which can say the same. Django was released almost 10 years ago, and I remember it was already popular, a lot of people migrated from Plone.
  - vegabook 12y ago
    The point is that Python's USP is Numpy. Python's USP is not web dev. If Python were to disappear there are many, many credible web dev alternatives. Not true Numpy. Take that from an R, Julia, C user. Numpy has the perfect combo of speed wrapped in an expressive language. I don't see that anywhere else.
elsjaako 12y ago
And I think django tends to have more downloads than numpy. For django I tend to have a separate virtualenv so I know what to deploy on the server (so that's at least 2 downloads, plus one more for every new project I start). When I use python to calculate something/analyze data I don't care about deploying, and I think the scientific crowd is less likely to care about best practices in general.
kevin_thibedeau 12y ago
PyPI download numbers are bogus. More than 90% are from mirror bots, not actual users.
- vernie 12y ago
  Ah yes, the 250,000 mirrors.

vegabook 12y ago

I am sorry, and at risk of downvotes, web dev is a much faster (dare I say it more fickle) crowd than science. Python is not a whole lot better than Golang, Ruby and of course, Node.js at this use case. Absolute numbers are not persuasive to me here. There are far fewer scientists than web devs (your stats imply ~ 1:2). Indeed I would venture to suggest that your data means that numpy punches well above its weight relative to other languages' science:webdev ratios. Let's not forget that Numpy and its direct linear ancestor, Numeric, has been dominant for more than a decade. Show me the Python web framework which can say the same. Flask/Bottle/Pyramid/Django/Tornado - pick your fashion. Another point (to the grandparent posts): putting Numpy into a "science" pidgeon hole is erroneous. It is massively used in finance, engineering, bioinformatics, and statistics.

hcarvalhoalves 12y ago
> There are far fewer scientists than web devs ... and there can still be more scientists using Python than web devs using it. Python web development is niche, despite the good frameworks. If you look at job postings, it's eclipsed by RoR, .NET, Java... maybe even PHP. > Let's not forget that Numpy and its direct linear ancestor, Numeric, has been dominant for more than a decade. Show me the Python web framework which can say the same. Django was released almost 10 years ago, and I remember it was already popular, a lot of people migrated from Plone.
- vegabook 12y ago
  The point is that Python's USP is Numpy. Python's USP is not web dev. If Python were to disappear there are many, many credible web dev alternatives. Not true Numpy. Take that from an R, Julia, C user. Numpy has the perfect combo of speed wrapped in an expressive language. I don't see that anywhere else.

elsjaako 12y ago

And I think django tends to have more downloads than numpy. For django I tend to have a separate virtualenv so I know what to deploy on the server (so that's at least 2 downloads, plus one more for every new project I start). When I use python to calculate something/analyze data I don't care about deploying, and I think the scientific crowd is less likely to care about best practices in general.

kevin_thibedeau 12y ago

PyPI download numbers are bogus. More than 90% are from mirror bots, not actual users.

vernie 12y ago
Ah yes, the 250,000 mirrors.