- Python
- Lisp
- Java
- C++
- R
- Julia
- Prolog
- Haskell
Developers cherish Python for its simple syntax and object-oriented approach to code maintainability.
But although Python seems friendly, it’s well-equipped to handle large and complex projects. Machine learning is a subset of AI that involves using algorithms to train machines.
TensorFlow is Python’s most popular framework for AI development. It’s an open-source machine learning library where you can train deep neural networks.
Other pre-existing libraries and frameworks include:
- Pandas
- SciPy
- nltk
- PyTorch
- Keras
- Theano
- scikit-learn
Besides machine learning, you can use these technologies for natural language processing (NLP) and evaluating advanced mathematical expressions.
NLP is what smart assistants like Google and Alexa use to understand what you’re saying and respond appropriately.
Another great thing about Python is that it is one of the easiest languages to learn, in spite of what it’s capable of!
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