semvec/pypi-packages huggingface dataset:
sphinx_jinja2 0.0.1
A sphinx extension for peeking at internal references.
Requires Python: >=3.8
Keywords: sphinx,extension,jinja

# sphinx-jinja2

[![PyPI][pypi-badge]][pypi-link]

> A sphinx extension to add the `jinja` directive, for rendering jinja templates.

**Note:** This is an adaption of [https://github.com/tardyp/sphinx-jinja](https://github.com/tardyp/sphinx-jinja), which appears to be unmaintained.

See [the documentation](https://sphinx-jinja2.readthedocs.io) for more information.

TODO: allow tests/filters to be strings, pointing to python import paths.
This is because Sphinx cannot cache lambda functions, so full rebuilds are always triggered.

[pypi-badge]: https://img.shields.io/pypi/v/sphinx-jinja2.svg
[pypi-link]: https://pypi.org/project/sphinx-jinja2
pcdebuginformation 0.0.4
This package will extract all the important details from linux system and create a report.
Requires Python: >=3.6

# hybridtoolkit

## Greetings.
Hello Reader,

I am Ravi Nain. I have created this python package to retrieve system details quick and easy.
This will be useful for developers who need to understand the system or IT guy who want to ensure the Operating system security.

This ToolKit is designed to get quick information of Linux Distribution Systems.

If you want to contribute please reach me in github issues or via my email (ravinain100@gmail.com)

[Github Code](https://github.com/qaravinain/hybridtoolkit)
notebook-vis-cli 0.1.1
Generate jupyter notebooks preloaded with visualization boilerplate
Requires Python: >=3.12,<4.0

Notebook-vis-cli generates jupyter notebooks with two populated cells:
Cell 1) loads a pandas dataframe
Cell 2) code to display it in a specific type of visualization, with defaults explicitly described.

The idea is that data will be generated via an external pipeline, but visualizations need to be tweaked interactively.
It is a hassle to set up the jupyter notebook and boilerplate for the visualization in question,
so notebook-vis-cli does it for you.