Which programming language is commonly used for AI development?

Python is widely regarded as the most popular programming language for AI development due to several key factors. Its simplicity and readability make it an accessible language for both beginners and experienced developers, facilitating faster prototyping and development cycles. Python has a rich ecosystem of libraries and frameworks specifically designed for AI and machine learning, such as TensorFlow, PyTorch, Keras, and scikit-learn, which provide pre-built functionalities that streamline the development of complex AI models.

Additionally, Python has a strong community support, which means that resources, tutorials, and documentation are readily available, making it easier for developers to overcome challenges they may encounter. The language also supports various programming paradigms, enhancing its flexibility and allowing for the implementation of different AI methodologies.

While the other languages listed have their strengths and can be used in AI development, they do not match the same level of widespread adoption and specific resources geared toward AI that Python offers. C++ could provide superior performance in certain applications, while JavaScript and Ruby offer their own unique benefits, but these do not equate to the extensive support and tools that have made Python the go-to language for many AI professionals.