5 ms·

Except that personally I see the benefit of Systemd every time I boot my linux computer. It just works, fast, and clean. I don't partake in the philosophical ar

Except that personally I see the benefit of Systemd every time I boot my linux computer. It just works, fast, and clean. I don't partake in the philosophical arguments. I just want it to work. Py3 by contrast, simply throws cruft curveballs at me. No tangible benefit. This is not a systemd-style issue. And yes Python will likely continue massively to be used in the sciences, 3 bears like me notwithstanding, so it would be good if the current stewards would actually recognize the fact that this is their core base of users and please could they focus on them instead of the web people who are much more fickle and moving already.

gtaylor 10y ago
> core base of users and please could they focus on them instead of the web people who are much more fickle and moving already. Ahhh, I see what's going on now. You may be vastly underestimating the size of variety of the Python userbase. This is one of the absolute most popular languages on the planet. Your science subset is but one of many. And it's not even the biggest if we're talking sheer user counts. Python must be steered for the good of the majority of the userbase. Not just for vegabook. The fact that you described them as "useless" to me just speaks to someone being impatient and dismissive of a ton of excellent work by the contributors. These changes weren't made just for the hell of it. Particularly the Unicode example that you gave above. If you want help understanding the rationale behind some of these changes, feel free to ask here. Someone with more familiarity will chime in and help clear up the confusion or angst.
- deleted 10y ago
  [deleted]
- brachi 10y ago
  Directly from core devs: https://snarky.ca/why-python-3-exists/ https://snarky.ca/why-python-3-exists/
toyg 10y ago
> core base of users Lol. Before Numpy and friends even existed, Python was used mostly by "the web people" and sysadmins. Scientists are one of a number of Python constituencies, and not even the best-paying nor most visible one.
- vegabook 10y ago
  rofl! Numeric was started in 1995.
  - toyg 10y ago
    The xml sig started in 1994 and is still active, together with the web sig. The numeric sig started in 2000 and is now dead.
    - vegabook 10y ago
      Not denying that Python was/is big in web, but point is that other languages now do that better, which is not true of science.

gtaylor 10y ago

> core base of users and please could they focus on them instead of the web people who are much more fickle and moving already. Ahhh, I see what's going on now. You may be vastly underestimating the size of variety of the Python userbase. This is one of the absolute most popular languages on the planet. Your science subset is but one of many. And it's not even the biggest if we're talking sheer user counts. Python must be steered for the good of the majority of the userbase. Not just for vegabook. The fact that you described them as "useless" to me just speaks to someone being impatient and dismissive of a ton of excellent work by the contributors. These changes weren't made just for the hell of it. Particularly the Unicode example that you gave above. If you want help understanding the rationale behind some of these changes, feel free to ask here. Someone with more familiarity will chime in and help clear up the confusion or angst.

deleted 10y ago
[deleted]
brachi 10y ago
Directly from core devs: https://snarky.ca/why-python-3-exists/ https://snarky.ca/why-python-3-exists/

toyg 10y ago

> core base of users Lol. Before Numpy and friends even existed, Python was used mostly by "the web people" and sysadmins. Scientists are one of a number of Python constituencies, and not even the best-paying nor most visible one.

vegabook 10y ago
rofl! Numeric was started in 1995.
- toyg 10y ago
  The xml sig started in 1994 and is still active, together with the web sig. The numeric sig started in 2000 and is now dead.
  - vegabook 10y ago
    Not denying that Python was/is big in web, but point is that other languages now do that better, which is not true of science.