Update and add index

terminal/python

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-           Awesome Python !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
+                                  Awesome Python !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
 
 An opinionated list of awesome Python frameworks, libraries, software and resources.
 
@@ -94,7 +94,7 @@
 - **Podcasts** (#podcasts)      
 - Contributing (#contributing)
 
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 Admin Panels
 
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 Libraries for working with dates and times.
 
-⟡ arrow
- (https://github.com/arrow-py/arrow) - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
+⟡ arrow (https://github.com/arrow-py/arrow) - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
 ⟡ dateutil (https://github.com/dateutil/dateutil) - Extensions to the standard Python datetime (https://docs.python.org/3/library/datetime.html) module.
 ⟡ pendulum (https://github.com/sdispater/pendulum) - Python datetimes made easy.
 ⟡ pytz (https://pypi.org/project/pytz/) - World timezone definitions, modern and historical. Brings the tz database (https://en.wikipedia.org/wiki/Tz_database) into Python.
@@ -704,8 +703,7 @@
 ⟡ Spark ML (http://spark.apache.org/docs/latest/ml-guide.html) - Apache Spark (http://spark.apache.org/)'s scalable Machine Learning library.
 ⟡ vowpal_porpoise (https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for Vowpal Wabbit (https://github.com/JohnLangford/vowpal_wabbit/).
 ⟡ xgboost (https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
-⟡ MindsDB (https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine 
-learning models using standard queries.
+⟡ MindsDB (https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
 
 Microsoft Windows
 
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 ⟡ django-haystack (https://github.com/django-haystack/django-haystack) - Modular search for Django.
 ⟡ elasticsearch-dsl-py (https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch.
-⟡ elasticsearch-py (https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) - The official low-level Python client for Elasticsearch 
-(https://www.elastic.co/products/elasticsearch).
+⟡ elasticsearch-py (https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) - The official low-level Python client for Elasticsearch (https://www.elastic.co/products/elasticsearch).
 ⟡ pysolr (https://github.com/django-haystack/pysolr) - A lightweight Python wrapper for Apache Solr (https://lucene.apache.org/solr/).
 ⟡ whoosh (http://whoosh.readthedocs.io/en/latest/) - A fast, pure Python search engine library.
 
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 ⟡ waitress (https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid.
 ⟡ werkzeug (https://github.com/pallets/werkzeug) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.
 
-                                                                                           Resources
+                                                                                                                 Resources
 
 Where to discover learning resources or new Python libraries.
 
@@ -1192,7 +1189,7 @@
 ⟡ Python Test (https://podcast.pythontest.com/)
 ⟡ The Real Python Podcast (https://realpython.com/podcasts/rpp/)
 
-                                                                                         Contributing
+                                                                                                                Contributing
 
 Your contributions are always welcome! Please take a look at the contribution guidelines (https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md) first.