Python programming Language
When it comes to AI programming languages, Python leads the pack with its unparalleled community support and pre-built libraries (like NumPy, Pandas, Pybrain, and SciPy) that help expedite AI development. For example, you can leverage proven libraries like sci-kit-learn for ML and use regularly updated libraries like Apache MXNet, PyTorch, and TensorFlow for DL projects.
For Natural Language Processing (NLP), you can go old school with NLTK or take advantage of lightning-fast SpaCy. Python is the leading coding language for NLP because of its simple syntax, structure, and rich text processing tool.
However, while it’s sometimes referred to as the best programming language for AI, you’ll have to look past its five different packaging systems that are all broken down in different ways, some white spacing issues, and the disconnect between Python 2 and Python 3.
But in the grand scheme of things, it makes perfect sense to learn Python, as it boasts the most comprehensive frameworks for both DL and ML. As this highly flexible AI language is platform-agnostic, you’ll only have to make minor changes to the code to get it up and running in a new operating system.
