semvec/pypi-packages huggingface dataset:
random-profile 3.0.6
Python Module To Generate Random Profile Data

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  <a href="https://py-contributors.github.io/audiobook/"><img src="https://capsule-render.vercel.app/api?type=rect&color=009ACD&height=100&section=header&text=RandomProfileGenerator3.0.6&fontSize=40%&fontColor=fffff" alt="website title image"></a>
  <h2 align="center">👉 Python Module To Generate Random Profile Data 👈</h2>
</p>

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[RandomProfile](https://pypi.org/project/random-profile/) is a powerful and simple tool to generate fake data. You can use it to mock classes, populate databases and much more. You can check the full documentation here. Check on [Pypi](https://pypi.org/project/random-profile/)


## Documentation

Documentation is available at [ReadTheDocs](https://randomprofilegenerator.readthedocs.io/en/latest/)

## Upcoming Features

- Support for more languages

## Changelog

Check the [Changelog](/CHANGELOG.md) for the latest changes.

## Contributing

Check the [Contributing](/CONTRIBUTING.md) for the contribution guidelines.

## License

The project is licensed under the <a href="/LICENSE">MIT</a> license. 

## Contributors

<a href="https://github.com/codePerfectPlus/awesomeScripts/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=codePerfectPlus/randomprofilegenerator" />
</a>
fileorganize 0.0.4
Utility functions for corpus and experiment file management in Python
Requires Python: >=3.0

============
fileorganize
============

Utility functions for corpus and experiment file management in Python.

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

.. code-block:: Python
		
  pip install fileorganize

=============
Documentation
=============

========
Examples
========

.. code-block:: Python

  from fileorganize import dir_to_df

  # Get all files in `mypath` as a dataframe
  df = dir_to_df(mypath)

  # Get all `.wav` files in `mypath` as a dataframe
  df = dir_to_df(mypath, fnpat=r'\.wav$')

  # Get all `.wav` files in `mypath` and extract named captures as
  # categorical `subj` and `token` columns
  df = dir_to_df(
      mypath,
      fnpat=r'(?P<subj>[A-Z]+\d+)-(?P<token>\d+)\.wav$'
  )

.. code-block:: Python

  from fileorganize import today_YYYYMMDD, timestamp_now

  # Get today's date in YYYYMMDD format
  todaystr = today_YYYYMMDD()

  # Get timestamp as YYYY-MM-DDTHHMMSS string and UTC offset for current
  # the current datetime
  tstamp, utcoffset = timestamp_now()

.. code-block:: Python

  from fileorganize import cp_backup

  # Copy a file to a backup directory with a version number
  copyname = cp_backup(origfile, backupdir)