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Re:JupyterLab is ready for users by _coveredInBees on Tuesday February 20, 2018 @12:25PM (#16422039)
Yeah, I work at a startup where we specialize in signal processing + ML. We have a robust set of infrastructure in MATLAB (use our own ML libraries rather than MATLAB's libs) and try as we might, we haven't been able to switch altogether to Python (despite a number of us being fans of Python).

MATLAB has a TON of things that you don't get with Python + Numpy + Scipy. Complicated plots/graphics with interactivity are a pain point in Python compared to MATLAB. Similarly, the debugging capabilities in MATLAB are truly magical compared to a pretty terrible experience on the Python side of things. Even though we deploy software in Python, we are much faster prototyping in MATLAB and deploying finalized algorithms/software to Python than trying to do everything in Python from the get go. MATLAB's JIT is also pretty great and while Numba is pretty great, it still requires more work and can be brittle at times.

Re:JupyterLab is ready for users by simonw on Wednesday February 21, 2018 @07:53AM (#16429056)
Have you tried bokeh for interactive visualizations? https://bokeh.pydata.org/en/latest/