What are the key differences between Python and R for data analytics tasks? How do their libraries, ease of use, and performance compare for data analysis and visualization? In which scenarios is Python more suitable than R, and vice versa? How do factors like community support, scalability, and integration influence the choice? What are the advantages and limitations of using Python and R in real-world data analytics projects?