This document provides an overview of several popular Python libraries for natural language processing (NLP): NLTK, Pattern, TextBlob, and Texthero. It describes some of the key NLP tasks each library can perform, like tokenization, lemmatization, stemming, sentiment analysis, spellchecking, and data mining. NLTK is presented as a toolkit for statistical NLP with functionalities for many NLP tasks. Pattern is useful for text processing and data mining from sources like Twitter and Google. TextBlob builds on NLTK and Pattern, and makes NLP easy to use with operations like noun phrase extraction and sentiment analysis. Texthero focuses on text analysis and visualization to efficiently work with textual data.