semvec/pypi-packages huggingface dataset:
datestamp 2020.2.10
Automated software version generator and replacer based on `year.month.day` as its format.
Requires Python: >=3.6

DateStamp
=========
Automatically generates new software version stamp as ``year.month.day`` format.


Install, update & uninstall (Alpha)
-----------------------------------

Use `pip`_ to install, upgrade & uninstall:

.. code-block:: text

    pip install datestamp

    pip install --upgrade datestamp

    pip uninstall datestamp


Example #1
----------

.. code-block:: python
    
    # ./pyproject.toml
    [build-system]
    requires = ["datestamp"]

    # ./setup.py
    from datestamp import stamp

    setup(...,
          version=stamp('package_name'),    # '2020.2.9'
          ...)


Example #2
----------

.. code-block:: python
    
    # ./datestamp.py
    ...

    # ./MANIFEST.in
    include datestamp.py

    # ./setup.py
    from datestamp import stamp

    setup(...,
          version=stamp('package_name'),    # '2020.2.9'
          ...)


Options
-------

.. code-block:: python

    version=stamp('package_name')               # '2020.2.9'
    version=stamp('package_name', '.post1')     # '2020.2.9.post1'
    version=stamp('package_name', 'rc1')        # '2020.2.9rc1'


Note
----

    - Make sure to pre-install ``datestamp`` before running ``python3 setup.py sdist``. This is only required for publishers, for users it will be build at setup time (but not installed).
    - New date stamp is only generated when you are ready to publish your project by
      ``python3 setup.py sdist`` or current version date is used.
    - When new date is generated at ``setup(version=stamp(...))`` it also replaces ``__version__`` line with ``__version__ = '2020.2.9'`` in ``__init__.py`` file.
    - Works for One-Off script file as well like ``datestamp.py`` package itself.


License
-------
Free, No limit what so ever. `Read more`_


.. _pip: https://pip.pypa.io/en/stable/quickstart/
.. _Read more: https://github.com/YoSTEALTH/datestamp/blob/master/LICENSE.txt
outliers-aarshi 0.0.1
A small package that removes outliers from a pandas dataframe
Requires Python: >=3.8

This Python package is created to remove outlier rows from a dataset.
To use thi dataset you ned to create a pandas dataframe(you can use 
pd.read_csv() to do it), and to to use this package your dataset
should have only numerical values and if you have any strings
then you can use one hot encoding or simple label encoder to do that,
but make sure before using it that it is all done.
Now this function takes one argument that is the dataframe.
and your df variable will now contain the new data which
will not contain outlier rows and this function will also
print the number of rows deleted!
THANKS!
Aarshi Arora
101703005
COE-1
Thapar Institute of Engineering and Technology