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spyder-ide
spyder-notebook
Python2018–2021
spyder-ide / spyder-notebook

spyder-notebook

Jupyter notebook integration with Spyder

2Distinct people
2Mentions
0Explicit recommenders
548GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Jupyter notebook integration with Spyder

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 year2 dated mentions

Observed mentions: 2018-02-02 21:11:35 UTC to 2021-02-05 20:28:41 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

2 sources
> what happens if you have too many jupyter notebooks? For example, there are more than a hundred. Like anything else, Jupyter Notebook is limited by the CPU and RAM of the system hosting the Tornado server and Jupyter kernels. At 100 notebooks (or even just one), it may be a good time to factor common routines into a packaged module with tests and documentation. It's actually possible (though inefficient) to import code from Jupyter notebooks with ipython/ipynb (pypi:ipynb): https://github.com/ipython/ipynb ( https://jupyter-notebook.readthedocs.io/en/stable/examples/N... ) > Actually, you start creating some modules. However, it is less convenient to work with them compared to what was before. It happens that you should code in web interface, somewhere in similar to the notepad++ form or you should change your IDLE. The Spyder IDE ha
Read the rest
s support for .ipynb notebooks converted to .py (which have the IPython prompt markers in them). Spyder can connect an interpreter prompt to a running IPython/Jupyter kennel. There's also a Spyder plugin for Jupyter Notebook: https://github.com/spyder-ide/spyder-notebook > Personally, I work in Pycharm and so far I couldn't assess remote interpreter or VCS. It is because pickle files or word2vec weighs too much (3gb+) and so I don't want to download/upload them. Remote data access times can be made faster by increasing the space efficiency of the storage format, increasing the bandwidth of the connection, moving the data to the code, or moving the code to the data. > Do you have better practices in your companies? There are a number of [Reproducible] Data Science cookiecutter templates which have a directory for notebooks, module packaging, and Sphinx docs: https://cookiecutter.readthedocs.io/en/latest/readme.html#da... Refactoring increases testability and code reuse. > How to correctly adjust IDLE? I don't think I understand the question? "Configuring IPython" https://ipython.readthedocs.io/en/stable/config/index.html Jupyter > "Installation, Configuration, and Usage" https://jupyter.readthedocs.io/en/latest/projects/content-pr... > Do you know about any possible substitution for the IPython notebook in the world of data analysis? From https://en.wikipedia.org/wiki/Notebook_interface : > > "Examples of the notebook interface include the Mathematica notebook, Maple worksheet, MATLAB notebook, IPython/Jupyter, R Markdown, Apache Zeppelin, Apache Spark Notebook, and the Databricks cloud." There are lots of Jupyter kernels for different tools and languages (over 100; including for other 'notebook interfaces'): https://github.com/jupyter/jupyter/wiki/Jupyter-kernels And there are lots of Jupyter integrations and extensions: https://github.com/quobit/awesome-python-in-education/blob/m...
In What happens if you have too many jupyter notebooks?

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