The ability to process, analyze, and visualize large datasets is a key skill in biomedicine. Python has become a widely used programming language in this field due to its simplicity, flexibility, and extensive library support. This chapter introduces Python and its possible application in biomedical data analysis. Originally developed by Guido van Rossum in the late 1980s, Python has evolved into one of the most popular programming languages globally. Its interpreted nature and emphasis on readability make it especially accessible to beginners. The chapter provides a brief overview of Python’s development and use across biomedical applications. It also describes procedure for setting up the Python environment, from installation and choosing integrated development environments (IDEs) to creating and managing virtual environments. Practical steps for installing libraries, verifying the setup, and troubleshooting common issues are also covered.