semvec/pypi-packages huggingface dataset:
kgextension 0.1.1
The kgextension allows to access and use Linked Open Data to augment existing datasets.
License: MIT
Keywords: knowledge graph,linked open data,sparql

.. figure:: https://raw.githubusercontent.com/om-hb/kgextension/master/docs/_static/logo.png
   :alt: kgextension logo

.. inclusion-marker-do-not-remove

Knowledge Graph Extension for Python
------------------------------------

The **kgextension** package allows to access and use Linked Open Data to
augment existing datasets. It enables to incorporate knowledge graph
information in
`pandas.DataFrames <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__
and can be used within the `scikit-learn
pipeline <https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html>`__.

Its functionality includes:

* Linking datasets to any Linked Open Data (LOD) Source such as `DBpedia <https://wiki.dbpedia.org/>`__, `WikiData <https://www.wikidata.org/wiki/Wikidata:Main_Page>`__ or the `EU Open Data Portal <https://data.europa.eu/euodp/en/home>`__ 
* Generation of new features from the LOD Sources 
* Hierarchy-based feature selection algorithms 
* Data Integration of features from different sources

The project started in March 2020 as a Masters Team Project at the
University of Mannheim.

Installation
^^^^^^^^^^^^

The newest stable release can be found on the `Python Package Index
(PyPi) <https://pypi.org/>`__.

.. code:: python

    pip install kgextension

Documentation and Usage
^^^^^^^^^^^^^^^^^^^^^^^

Detailed documentation and usage instructions can be found in the
`kgextension
documentation <https://kgextension.readthedocs.io/en/latest/>`__.

Communication
^^^^^^^^^^^^^

The contributors can be reached by email: kgproject20@gmail.com.
string-locator 1.1.0
A python package to find the files that contain a given string inside a given path
License: MIT

# String Locator

A simple code to find the file containing a given string inside a given path.

At times in the programming world, we might need to change a certain code but don't know which file it is in and might have to go through a huge list of files. The string locator helps the user find the desired file by entering the text and the path to the folder containing all the documents.



## Code

```
from string_locator import locator

text='import tensorflow'
path='C:/Users/admin/Desktop/test_folder

location=locator.locate(text,path)

```

## License

Copyright (c) Srirag Jayakumar

This repository is licensed under the MIT license. See LICENSE for details.