This course is designed to equip doctoral students and early career researchers in accounting and finance with foundational and practical skills in Python programming, tailored specifically for empirical research. We will cover core programming concepts, data manipulation techniques, and statistical analysis methods using Python. Emphasis will be placed on applications to real-world accounting and finance data, such as Compustat, CRSP, and textual data. Through hands-on assignments and coding exercises, students will learn how to efficiently clean data, perform statistical testing, and visualize results. The goal is not only to become competent in coding but also to use Python as a tool to enhance the quality and efficiency of academic research.