Python has grown in popularity over the years to become one of the most popular programming languages for machine learning (ML) and artificial intelligence (AI) tasks. It has replaced many of the existing languages in the industry, and it is more efficient when compared to these mainstream programming languages. On top of all of that, its English-like commands make it accessible to beginners and experts alike.
Another fundamental feature of Python that draws many of its users is its vast collection of open-source libraries. These libraries can be used by programmers of all experience levels for tasks involving ML and AI, data science, image and data manipulation, and much more.
Why Python for Machine Learning and AI?
Python’s open-source libraries are not the only feature that make it favorable for machine learning and AI tasks. Python is also highly versatile and flexible, meaning it can also be used alongside other programming languages when needed. Even further, it can operate on nearly all OS and platforms on the market.
Implementing deep neural networks and machine learning algorithms can be extremely time consuming, but Python offers many packages that cut down on this. It is also an object-oriented programming (OOP) language, which makes it extremely useful for efficient data use and categorization.
Another factor that makes Python favorable, especially to beginners, is its growing community of users. Since it is one of the fastest growing programming languages in the world, the number of Python developers and development services has exploded. The Python community is growing alongside the language, with active members always looking to use it to tackle new problems in business.