How is Python Used for Data Analysis in Catalysis?
Python's robust libraries like Pandas and NumPy allow researchers to efficiently handle and analyze large datasets. These libraries provide functionalities to manipulate data, perform statistical analysis, and visualize results, which are essential for interpreting experimental data and identifying trends in catalytic behavior.
