Natural Language Processing (NLP) for Code in Python represents a contemporary intersection of linguistic understanding and programming languages, aiming to enhance the performance and accessibility of software program improvement. This studies delves into the integration of NLP strategies into Python, fostering a singular technique to code analysis and comprehension. By leveraging NLP, developers can bridge the communique gap between human language and programming languages, unlocking new opportunities for code summarization, semantic understanding, and clever automation.