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enthought
Python-2.7.3
Python2017–2025
enthought / Python-2.7.3

Python-2.7.3

Default Repo description from terraform module

2Distinct people
2Mentions
0Explicit recommenders
3GitHub stars
REPOSITORY AT A GLANCE

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What it is

Default Repo description from terraform module

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, 6:01:08 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 year2 dated mentions

Observed mentions: 2017-03-28 20:37:56 UTC to 2025-08-01 13:42:58 UTC.

012017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

1 sources
It's unreasonable to ask me to chase down a reference in a book but I did it anyway because I was really curious. It doesn't support what you said in your previous comment. It seemed to suggest that any calls to your overridden methods might magically use the base class instead, even when directly called from application code. But the book says something very different: > The code of the built-ins (written in C) usually does not call methods overridden by user-defined classes. But that is nothing to do with them being built-in classes or even being written in C. Any class, even written in pure Python, is not guaranteed to implement any of its methods in terms of other public methods, even when it's possible to do that. It just depends on how it's implemented. Indeed that's true even for UserDict. It's no longer implemented in pure Python,
Read the rest
but if you look at the 2.7 version [1], which was, you can see some methods implemented in terms of others (e.g. get() uses `key not in self` and `self[key]`) and others that aren't (e.g. keys() just uses self.dict.keys() rather than being implemented in terms of self.items()). There was even a breaking change in Python 3.12 to which other methods UerDict.__getitem__() uses in its implementation [2]. I can sort of see some utility to UserDict but it seems at least as unpredictable as deriving from built in dict so it doesn't really buy you much. Either way, the only really safe way to use them is to override all methods that you want to behave differently. [1] https://github.com/enthought/Python-2.7.3/blob/master/Lib/Us... [2] https://github.com/python/cpython/issues/105524
In A Python dict that can report which keys you did not use

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