His argument against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab-like data-analysis powers to Python.

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Python’s popularity is skyrocketing, and for good reason. It’s versatile, beginner-friendly, and opens doors to exciting fields like data science, automation, and web development.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Python is easy to learn, it has vast and deep support, and most every data science library and machine learning framework out there has a Python interface.

Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data science workflows.

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Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.