Python is a powerful and versatile programming language that has become increasingly popular in the world of artificial intelligence (AI) and machine learning (ML). While AI and ML are based on complex algorithms and workflows, Python, with its easy-to-write code, allows developers to focus on solving ML problems rather than technical nuances of the language. That’s why many programmers consider Python to be more intuitive than other languages.
Python is a high-level language that is both powerful and easy to learn. It has a simple syntax and structure, making it easy to read and understand. Python is also an interpreted language, meaning that code can be written and executed without having to compile it first. This makes it easier to debug and test code quickly.
Python also has a wide range of libraries and frameworks that can be used to develop AI and ML applications. These libraries and frameworks provide developers with a wide range of tools and algorithms that can be used to create powerful AI and ML applications. For example, the popular TensorFlow library is used to create deep learning models, while the Scikit-learn library is used to create supervised and unsupervised machine learning models.
In addition, Python has a large and active community of developers who are constantly working to improve the language and its libraries. This makes it easier for developers to find help and support when they need it.
Overall, Python is a great choice for AI and ML development. It is easy to learn and has a wide range of libraries and frameworks that can be used to create powerful applications. It also has a large and active community of developers who are constantly working to improve the language and its libraries. Therefore, it is no surprise that many developers consider Python to be better than other languages for AI and ML development.