HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
Kaggle
docker-python
Python2017–2026
Kaggle / docker-python

docker-python

Kaggle Python docker image

3Distinct people
8Mentions
0Explicit recommenders
2.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Kaggle Python docker image

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 year8 dated mentions

Observed mentions: 2017-10-30 08:48:27 UTC to 2026-07-29 22:53:20 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): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
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 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
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
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

1 sources
MAME: https://en.wikipedia.org/wiki/MAME "TI-83 Plus Calculator Emulation" https://archive.org/details/ti83p-calculator TI-83 series: https://en.wikipedia.org/wiki/TI-83_series : > Symbolic manipulation (differentiation, algebra) is not built into the TI-83 Plus. It can be programmed using a language called TI-BASIC, which is similar to the BASIC computer language. Programming may also be done in TI Assembly, made up of Z80 assembly and a collection of TI provided system calls. Assembly programs run much faster, but are more difficult to write. Thus, the writing of Assembly programs is often done on a computer. I had a TI-83 Plus in middle school, and then bought a TI-83 Plus Silver edition for high school. The TI-83 Plus was the best calculator allowed for use by the program back then. FWIU these days it's the TI-84 Plus, which has USB
Read the rest
but no CAS Computer Algebra System. The JupyterLite build of JupyterLab - and https://NumPy.org/ - include the SymPy CAS Computer Algebra System and a number of other libraries; and there's an `assert` statement in Python; but you'd need to build your own JupyterLab WASM bundle to host as static HTML if you want to include something controversial like pytest-hypothesis. https://jupyterlite.rtfd.io/ Better than a TI-83 Plus emulator? Install MambaForge in a container to get the `conda` and `mamba` package managers (and LLVM-optimized CPython on Win, Mac, Lin) and then `mamba install -y jupyterlab tabulate pandas matplotlib sympy`; or login to e.g. Google Colab, Cocalc, or https://Kaggle.com/learn ( https://GitHub.com/Kaggle/docker-python ) . To install packages every time a notebook runs: !python -m pip install # or %pip install <pkgs> !conda install -y !mamba install -y But NumPy.org, JupyterLite, and Colab, and Kaggle Learn all already have a version of SymPy installed (per their reproducible software version dependency files; requirements.txt, environment.yml (Jupyter REES; repo2docker)) Like MAME, which is the emulator for the TI-83 Plus and other calculators hosted by this new Internet Archive project, Emscripten-forge builds WASM (WebAssembly) that runs in an application-sandboxed browser tab as the same user as other browser tab subprocesses.
In Calculators now emulated at Internet Archive

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.