Python is the top choice for AI development due to its simplicity, readability, and extensive library support, catering to both beginners and experts.
Libraries like TensorFlow, PyTorch, Scikit-learn, and Keras simplify machine learning, deep learning, and data analytics. Its versatility extends to natural language processing with NLTK and SpaCy, making it indispensable in AI.
Python’s strong community support and seamless integration with other languages enhance its appeal.
R is another widely used language in AI, excelling in statistical computing, data analysis, and handling large datasets. It is preferred for projects requiring data visualization, statistical modeling, and exploration in AI.