semvec/pypi-packages huggingface dataset:
cronicl 0.1.0
cronicl is a simple data processing library

# cronicl: data workflows.

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**cronicl** is a simple data processing library written in Python.

No additional infrastructure or tools needed, if you can run Python, you can process data through cronicl.

Programatically author, connect, monitor and run workflows in Python.

## Features
-  Programatically define pipeline flow and processing operations
-  Record the number of times each operation is executed and execution time
-  Automatic version tracking of processing operations
-  Trace messages through the pipeline (random sampling), including santization of sensitive information from trace logs
-  Monitor via HTTP interface 
-  Automatic retry of operations

## Dependencies

[NetworkX](https://networkx.org/)  
[Flask](https://flask.palletsprojects.com/)

## License
[Apache 2.0](LICENSE)
patrick-helloworld 0.0.2
Say Hello!

# Create Your Own Python Package

Based on the talk here: https://www.youtube.com/watch?v=GIF3LaRqgXo&ab_channel=CodingTech

<b>Setup Steps</b>

1. Create your Python module (in here it is helloworld.py)
2. Create setup.py file (see setup.py file)
3. Run "python setup.py bdist_wheel" (creates build, dist, and other folders/files)
4. Optional: Create .gitignore (just good practice, checkout gitignore.io)
5. Add the .egg-info file in the src directory to the .gitignore (it is unnecessary apparently).
6. Create README.md
7. Run "pip install -e ." to install this package locally (run frequently to check your work)
8. Add a license (checkout choosealicense.com). MIT License added here by default.
9. Optional: Run some tests (checkout a package called pytest, it is great)
10. Run "pip install check-manifest", then "check-manifest --create", then "git add MANIFEST.in" (this all helps the next step run properly)
11. Run "python setup.py sdist" to create a .tar.gz file with the source code for distribution
12. Run "python setup.py bdist_wheel sdist"
13. Run "pip install twine", then "twine upload dist/*" and woohoo! you have now uploaded it to pypi!
14. To test with different versions of Python, checkout the "tox" package
15. To get started, it is best to use the "cookiecutter" package! Run "pip install cookiecutter" then "cookiecutter gh: ionelmc/cookiecutter-pylibrary