We are seeing a rise of Artificial Intelligence (AI) in medicine, with potential for remarkable improvements in diagnosis, prevention and treatment in healthcare. We have many open opportunities in leveraging NLP for improving both clinical workflows and patient outcomes. Python has been the language of choice for Natural Language Processing (NLP). In this talk, we will discuss some opportunities in clinical NLP, map out fundamental NLP tasks, and tour the available resources– Python libraries and frameworks for these tasks. Many of these libraries make it extremely easy to leverage state-of-the-art NLP research for building models on clinical text.