Actually there are several reasons that Python has to be the language of Machine Learning and Data Science. It begins with two decades of being promoted as the

Actually there are several reasons that Python has to be the language of Machine Learning and Data Science. It begins with two decades of being promoted as the most accessible language for scientists to get the job done. Then the widespread use of Python led to an explosion of libraries creating a rich ecosystem. Nowadays there are sophisticated tools like Orange3 and Jupyter (not to mention Beaker Notebook) that make it easy to share code within teams of scientists. None of this is going away and even R users are discovering that it is easier to use R for the stats part of the problem and integrate with Python for everything else. R used to have the best presentation graphics but now Python has caught up with improved Matplotlib and Bokeh. Also some people prefer to use d3.js in the browser moving from just presenting their data to enable exploration of it. In the ML/DS area, CPUs will never be fast enought with Go. You need to exploit the GPU which Python has good support for, or move to distributed computing which Python also does well. No other language will dislodge Python. Instead we are making integration more prominent and using multiple languages working together. Beaker Notebook is particularly good at this and is driving Jupyter in that direction too.