The pros of Python are that it is open-source and can be used for web development, software development, and data science. It is easy to learn compared and can be used for data-transformation, data-filtering, data-wrangling, machine learning, predictive analysis, etc.
The pros of R programming are that it is an open-source and used for performing mathematical and statistical computing, data science tasks, and also for data visualization. The cons are it is complex and tough to learn compared.
The pros of SAS are that it is easy to learn and is used for statistical analytics. The cons are it is expensive and not suitable for data visualization compared.
Also, watch this video on Python vs R vs SAS: