AI and machine learning are driving demand for certain programming languages that are optimal for AI/ML development.
With its simplicity and extensive ML libraries like TensorFlow and PyTorch, Python has become the #1 language for AI/ML.
R is a popular language for statistical computing and graphics, making it useful for data science/ML. Packages like caret and ggplot2 extend its ML and data vis capabilities.
Java - Java remains a sought-after language due to its wide usage and applications. It is commonly used for developing AI systems and tools.
C/C++ - For performance-critical AI/ML applications, lower level languages like C/C++ are needed. Many AI/ML frameworks rely on C/C++ code.
JavaScript - JavaScript is ubiquitous in web development and can be used to create browser-based ML apps with libraries like TensorFlow.js.
Scala combines object-oriented and functional programming to allow concise AI algorithms to be developed with strong scalability.
Julia - Julia was designed specifically for scientific computing and AI. It provides Python-like ease of use but with faster runtime speeds.