papermill
xonsh
papermill | xonsh | |
---|---|---|
26 | 112 | |
5,630 | 8,006 | |
0.6% | 1.1% | |
8.0 | 8.9 | |
6 days ago | 7 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
papermill
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Spreadsheet errors can have disastrous consequences – yet we keep making them
Pandas docs > Comparison with spreadsheets: https://pandas.pydata.org/docs/getting_started/comparison/co...
Pandas docs > I/O > Excel files: https://pandas.pydata.org/docs/user_guide/io.html#excel-file...
nteract/papermill: https://github.com/nteract/papermill :
> papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. [...]
> This opens up new opportunities for how notebooks can be used. For example:
> - Perhaps you have a financial report that you wish to run with different values on the first or last day of a month or at the beginning or end of the year, using parameters makes this task easier.
"The World Excel Championship is being broadcast on ESPN" (2022) https://news.ycombinator.com/item?id=32420925 :
> Computational notebook speedrun ideas:
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Jupyter Kernel Architecture
There is Papermill ... https://github.com/nteract/papermill
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Git and Jupyter Notebooks Guide
https://github.com/jupyter/enhancement-proposals/pull/103#is...
Papermill is one tool for running Jupyter notebooks as reports; with the date in the filename. https://papermill.readthedocs.io/en/latest/
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JupyterLab 4.0
You may be interested in papermill to address the parametrized analysis problem [1]. I think (but I'm not positive) this is what the data team at a previous job used to automate running notebooks for all sorts nightly reports.
[1] https://papermill.readthedocs.io/en/latest/#
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
I'm using Papermill to operationalize Notebooks (https://github.com/nteract/papermill), it e.g. also has airflow support. I'm really happy with papermill for automatic notebook execution, in my field it's nice that we can go very quickly from analysis to operations -- while having super transparent "logging" in the executed notebooks.
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What's the best thing/library you learned this year ?
papermill bcpandas fastapi
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Does the Jupyter API allow using Jupyter from the CL?
But you can execute your notebook using Jupyter-run or papermill.
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Running Jupyter notebooks in parallel
As a first option, we will use Papermill, which has a Python API that allows us to run different notebooks using some functions:
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Tips for using Jupyter Notebooks with GitHub
Papermill can also target cloud storage outputs for hosting rendered notebooks, execute notebooks from custom Python code, and even be used within distributed data pipelines like Dagster (see Dagstermill). For more information, see the papermill documentation.
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Three Tools for Executing Jupyter Notebooks
Papermill Source Code
xonsh
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This Week In Python
xonsh – Python-powered, cross-platform, Unix-gazing shell
- FLaNK Stack Weekly 19 Feb 2024
- Xonsh is a Python powered shell
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Xonsh: Python-powered, cross-platform, Unix-gazing shell
You need to downgrade ptk version. Look here - https://github.com/xonsh/xonsh/issues/5241#issuecomment-1961...
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Google ZX – A tool for writing better scripts
Friends, I'm not saying that tools like zx are not good. I do like to write some scripts using js/ts. I believe pythoners prefer https://xon.sh/ . Perl is also attractive and interesting. Fish is friendly.
However, I still believe that posix-shell has its own advantages. The balance among size, code length, and expressiveness. I think the only possible competitors are tcl and perl, maybe lua.
- Xonsh – A Python-Powered Shell
- Xonsh
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Shh: Simple Shell Scripting from Haskell
Those of you who use (or used) this as your shell: care to share your experience?
It seems a lot less full-featured than https://xon.sh/, but maybe you don't need a lot of bells and whistles for regular usage. I mostly run build, execute, and install commands.
I'm somewhat enticed at the possibility of being able to wrap common executables into forms that are typed (like nushell or elvish) and manipulate them in a way that leverages the type checker.
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Marcel the Shell
In that case, is it even more similar to xonsh?
https://xon.sh/
- Shshsh is a bridge connects Python and shell
What are some alternatives?
nbconvert - Jupyter Notebook Conversion
nushell - A new type of shell
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
fish-shell - The user-friendly command line shell.
airflow-notebook - This repository is no longer maintained.
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
nbdev - Create delightful software with Jupyter Notebooks
oh-my-bash - A delightful community-driven framework for managing your bash configuration, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
voila - Voilà turns Jupyter notebooks into standalone web applications
PowerShell - PowerShell for every system!
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
zx - A tool for writing better scripts