african_microbiome_portal_data
papermill
| african_microbiome_portal_data | papermill | |
|---|---|---|
| 1 | 30 | |
| 0 | 6,145 | |
| - | 0.7% | |
| 4.3 | 1.6 | |
| almost 2 years ago | 21 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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african_microbiome_portal_data
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Running Jupyter notebooks in parallel
Here we will share the results after testing and evaluating some of these tools. Note that to make this comparison fair, it takes into account the use of the same code for all executions and we also use Python's time module to measure the execution time. The notebooks used for benchmarking can be found here and correspond to the african_microbiome_portal_data repository. Serial execution cases (each notebook sequentially) are evaluated first, followed by parallel notebook execution cases.
papermill
- Jupyter Notebooks as E2E Tests
- Resumindo vídeos do Youtube com auxílio de LLM's
- Papermill: Parameterizing, executing, and analyzing Jupyter Notebooks
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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.
What are some alternatives?
ploomber-engine - A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!
voila - Voilà turns Jupyter notebooks into standalone web applications
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
mercury - Convert Jupyter Notebooks to Web Apps
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts