Python is a versatile programming language that is simple, flexible, and has powerful libraries. Architects and designers use Python for a wide range of tasks, from automating repetitive processes to complex data analysis. In computational design, Python is often used alongside tools like Rhino and its visual programming interface Grasshopper, where it facilitates parametric modeling, geometric analysis, and the generation of intricate, data-driven forms. Additionally, Python’s data science libraries—such as Pandas, NumPy, and Matplotlib—allow architects to analyze environmental factors, optimize energy efficiency, and assess site conditions. In urban planning and smart city development, Python is used to process large datasets, including GIS data, enabling designers to make data-informed decisions. Overall, Python’s adaptability makes it an essential tool for advancing innovation and sustainability in architecture and the built environment.