Which of the following programming languages are best suited for analysis and machine-learning applications? (Choose two.)

Ruby is a general-purpose language primarily used for web development (e.g., Ruby on Rails) and is not a primary choice for data analysis or machine learning compared to Python or R.

Rust is a systems programming language focused on performance and safety, often used for operating systems or game engines, not typically for high-level data analysis or ML.

PHP is a server-side scripting language predominantly used for web development and lacks the specialized libraries and community focus for data science that Python and R possess.

Python is a highly versatile language with a vast ecosystem of libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) specifically designed for data analysis, machine learning, and artificial intelligence, making it a dominant choice in the field.

Kotlin is a modern programming language popular for Android app development and general-purpose programming on the JVM, but it is not a primary language for data analysis or machine learning workflows.

R is a language specifically created for statistical computing and graphics, boasting an enormous collection of packages for statistical modeling, data visualization, and advanced analytics, making it excellent for academic and research-oriented data science.