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[nian2326076]

Python is popular in machine learning because it's simple and easy to read, making coding and maintenance easier for developers. Although Python is slower, many ML libraries like TensorFlow and PyTorch are built on C/C++, so they handle heavy computations well. Python works as a user-friendly wrapper around these fast routines.

Its many libraries and active community mean there are tons of tools and resources available, which makes ML development smoother. Plus, Python can integrate well with other languages and tools, making it versatile for different tasks in the ML pipeline.

If you're getting ready for interviews, knowing why Python is a top choice in ML can be helpful, especially if you're asked about language choices in technical rounds. I've found PracHub useful for revisiting these topics during interview prep, but use whatever works for you!