The surge of data in the form of text is massive. For businesses to make a sense out of this data, they require to process and analyse it. Herein python, with its strong Natural Language Processing(NLP) libraries like NLTK and spaCy, enters the picture. NLP enables computers to interact with text data in a more structured and sensible way. This blog aims to serve as an introduction to text analysis and NLP using Python. The blog will guide you right from installing the required libraries to cleaning text data, tokenizing, stemming, and finally extracting meaningful information using NLTK and spaCy libraries. Text processing techniques like sentiment analysis and topic modelling will also sneak into this comprehensive guide. By the end of this blog post, you will have a good handle on text analysis and NLP using Python. ---