semvec/pypi-packages huggingface dataset:
jupyter-doexport 0.3.9
A package to convert jupyter notebooks to Stata do-files
License: MIT
Requires Python: >=3.9,<4.0

# jupyter-doexport

This packages provides a context menu and template for exporting a jupyter notebook with Stata kernel, to a do-file with all markdown and code ready to be executed at the Stata GUI or console.

To install the exporter, write:

``pip install jupyter-doexport``

## Features

This package features two types of export, a regular script export to that you can then run in Stata, `dofile`, and one which also includes output from the notebook making it a sort of hybrid do-file/log, called `dofile_output`.

Your jupyter notebook should be available for export from the  ``File ->  Download as`` menu.

Alternatively, you can export your notebook from the commandline like so:

```
jupyter nbconvert --to [dofile/dofile_output] <name of file>
```

Currently, translation of stata_kernel magics are not supported.

Thanks also to
--------------

Kyle Barron for an amazing Stata kernel implementation.
You can see how to install it [here](https://kylebarron.github.io/stata_kernel/).
power-cogs 0.4.5
A set of useful research templates for deep learning projects
License: MIT

power_cogs
==================

.. image:: https://img.shields.io/pypi/v/power_cogs.svg
    :target: https://pypi.python.org/pypi/power_cogs
    :alt: Latest PyPI version

.. image:: https://travis-ci.org/kragniz/cookiecutter-pypackage-minimal.png
   :target: https://travis-ci.org/kragniz/cookiecutter-pypackage-minimal
   :alt: Latest Travis CI build status

A template for deep learning projects utilizing hydra for configuration, ray for execution, mlflow, tensorboard, and w&b for metrics + artifact collection

Usage
-----

run `python setup_project.py` and enter new project name to change paths


Installation
------------

Requirements
^^^^^^^^^^^^

Compatibility
-------------

Licence
-------

Authors
-------

`power_cogs` was written by `Shyam Sudhakaran <shyamsnair97@gmail.com>`_.
wagtail-typograf 0.1.3
Brings russian typography to Wagtail rich text editor based on draftail
License: MIT
Requires Python: >=3.3,<4.0
Keywords: wagtail,draftail,typography,typus

wagtail-typograf
----------------

A plugin to add `typus <https://github.com/byashimov/typus>`_ functionality to wagtail rich text editor (draftail).

Demo
====

.. image:: https://raw.githubusercontent.com/truetug/wagtail-typograf/master/demo.gif
    :width: 400
    :alt: Demo

Installation
============

Install with pip 

::

    pip install wagtail-typograf

Add app name to your list of installed apps
  
::

    INSTALLED_APPS = [
        ...
        "wagtail_typograf",
    ]
    

Add typograf url to your urlpatterns (for now "/api/typograf/" is strongly hardcoded in js)

::

    urlpatterns = [
      ...
      path('api/', include('wagtail_typograf.urls')),
      ...
    ]


If you use limit number of features in RichTextBlock, don't forget to add ``typograf`` to its list

::
    
    text_block = RichTextBlock(
        features=[
            "bold", "italic", "ol", "ul", "hr", 
            "link", "document-link", "typograf",
        ],
        ...
    )

Usage
=====

Write or paste text content, push the ¶-button.