Python_Solr

pysolr is a lightweight Python wrapper for Apache Solr. It provides an interface that queries the server and returns results based on the query.
Reference - https://pypi.org/project/pysolr/ 

Installation - pip install pysolr

Or if you want to install directly from the repository: python setup.py install, or drop the pysolr.py file anywhere on your PYTHONPATH

--------------------------------------------------------------sample code------------------------------------------------------

# If on Python 2.X
from __future__ import print_function
import pysolr

# Setup a Solr instance. The timeout is optional.
solr = pysolr.Solr('http://localhost:8983/solr/', timeout=10, auth=<type of authentication>)

# How you'd index data.
solr.add([
    {
        "id": "doc_1",
        "title": "A test document",
    },
    {
        "id": "doc_2",
        "title": "The Banana: Tasty or Dangerous?",
        "_doc": [
            { "id": "child_doc_1", "title": "peel" },
            { "id": "child_doc_2", "title": "seed" },
        ]
    },
])

# Note that the add method has commit=True by default, so this is
# immediately committed to your index.

# You can index a parent/child document relationship by
# associating a list of child documents with the special key '_doc'. This
# is helpful for queries that join together conditions on children and parent
# documents.

# Later, searching is easy. In the simple case, just a plain Lucene-style
# query is fine.
results = solr.search('bananas')

# The ``Results`` object stores total results found, by default the top
# ten most relevant results and any additional data like
# facets/highlighting/spelling/etc.
print("Saw {0} result(s).".format(len(results)))

# Just loop over it to access the results.
for result in results:
    print("The title is '{0}'.".format(result['title']))

# For a more advanced query, say involving highlighting, you can pass
# additional options to Solr.
results = solr.search('bananas', **{
    'hl': 'true',
    'hl.fragsize': 10,
})

# You can also perform More Like This searches, if your Solr is configured
# correctly.
similar = solr.more_like_this(q='id:doc_2', mltfl='text')

# Finally, you can delete either individual documents,
solr.delete(id='doc_1')

# also in batches...
solr.delete(id=['doc_1', 'doc_2'])

# ...or all documents.
solr.delete(q='*:*')


---------------------------------------------------- end of sample code ----------------------------------------------------