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ipython
ipykernel
Python2018–2021
ipython / ipykernel

ipykernel

IPython Kernel for Jupyter

2Distinct people
2Mentions
0Explicit recommenders
736GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

IPython Kernel for Jupyter

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: 2018-02-21 00:22:45 UTC to 2021-03-08 19:15:23 UTC.

012018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 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): 1 mentions; 0 submissions, 1 comments2021

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
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
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 UTC101

What Hacker News says

1 sources
Your question relates more to IPython Kernel than Jupyter per se. Fortunately ipykernel has out of the box integration with event loops, e.g. https://github.com/ipython/ipykernel/blob/master/ipykernel/e... for asyncio integration, and you can then schedule cell updates on the asyncio event loop as you would normally. To have events on the Python side generate visible updates in the Jupyter notebook you can use ipywidgets, for which the Python widget state in the kernel is automatically synchronized to the JavaScript widget state.
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