I am deeply fascinated by the scope of artificial intelligence and machine learning. I noticed that python is very popular when it comes to AI and ML. Why is python used to write ML and AI models? Is it possible to write these models in other programming languages?
If you talk to a computer vision engineer or a data scientist and ask if about his preferred language for machine learning, ten times out of ten the answer will be Python. Why is Python so popular for machine learning you ask? The answer is very simple, simply put, Python is simple to understand.
Notice the number of times I used the word simple in the last sentence? Python is exactly that much simpler to understand. The syntax is clear and not complicated. Complex mathematical notation and algebra can be performed with a few lines of code and this code is easy to understand.
Machine learning requires understanding some complex algebra and other mathematical notations. Many data scientists and computer vision engineers find them difficult to understand. Whipping up a quick code in python makes it simple for them to visualize and understand the concepts.
Since it has been the preferred language for quite some time, many libraries dedicated to the task of data science, computer vision, pattern recognition, and other machine learning applications have emerged which work like magic.
Yes, you can use other languages to implement machine learning, even JavaScript. However, the extensive ease and environment that Python provides cannot be beaten.
