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kennethreitz
pipenv
Python2017–2017
kennethreitz / pipenv

pipenv

Python Development Workflow for Humans.

10Distinct people
10Mentions
0Explicit recommenders
35GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Python Development Workflow for Humans.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month10 dated mentions

Observed mentions: 2017-03-19 00:25:06 UTC to 2017-11-17 06:36:58 UTC.

012342017-03-01 00:00:00 UTC to 2017-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 20172017-04-01 00:00:00 UTC to 2017-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-05-01 00:00:00 UTC to 2017-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-06-01 00:00:00 UTC to 2017-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-07-01 00:00:00 UTC to 2017-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 20172017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2017-11-01 00:00:00 UTC to 2017-12-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 commentsNov 2017

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 20172017-03-01 00:00:00 UTC2017-04-01 00:00:00 UTC101
Apr 20172017-04-01 00:00:00 UTC2017-05-01 00:00:00 UTC000
May 20172017-05-01 00:00:00 UTC2017-06-01 00:00:00 UTC000
Jun 20172017-06-01 00:00:00 UTC2017-07-01 00:00:00 UTC000
Jul 20172017-07-01 00:00:00 UTC2017-08-01 00:00:00 UTC000
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC000
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC303
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC211
Nov 20172017-11-01 00:00:00 UTC2017-12-01 00:00:00 UTC404

What Hacker News says

10 sources
Twine[0] is the tool I've been using for PyPI archive management and Pipenv[1] is looking promising as the next iteration of pip. Twine makes the packaging process _slightly_ easier, although setuptools is still a bit of a pain. Pipenv handles a lot of project cruft for you: setting up a virtualenv, distinguishing dev and prod packages, locking them down and deterministic building. [0]: https://github.com/pypa/twine [1]: https://github.com/kennethreitz/pipenv
In What would a python pip replacement look like?
> Yarn may well be better than npm, in fact, as far as I can tell it is, but, frankly, npm works well and I'm tired of switching js dependencies, especially really core dependencies like a package manager... Yarn still uses your package.json. I think it will definitely win out over directly using npm since it is better in a couple of ways and, from a user perspective, is just a thin wrapper around the things you're already used to doing. Ways my workflow has changed: npm install . -> yarn npm save --dev pkg -> yarn add --dev pkg npm save pkg -> yarn add pkg npm run command -> yarn run command If you start using it and dislike it, just npm uninstall -g yarn, rm the yarn.lock file and bam, you've still got a normal npm dependency management setup. > If yarn were available for python, I'd switch to it today Project worth keeping your eye on:
Read the rest
In Has Python killed Ruby?

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