Matlab vs python if statements8/28/2023 ![]() ![]() "As a process engineer I had no experience with neural networks or machine learning. And the same is true for all of the functions in NumPy and SciPy. ![]() Both functions documentation are equally clear in explaination. It's impossible to understand the argument here. ![]() Not to mention the ease of creating interactive dashboards in Jupyter Notebooks, i.e. Integrated tools support simultaneous exploration of data and programs, letting you explore more ideas in less time.Īgain Spyder, P圜harm, and JupyterLab offer many of the same features built in and additionally the growing world of extensions to Jupyter Notebooks and JupyterLab, e.g. There are many options in the Python world that offer the same, Spyder as already mentioned, the P圜harm IDE, and of course the venerable Project Jupyter with JupyterLab and Jupyter Notebooks. The desktop environment is tuned for iterative engineering and scientific workflows. Same goes for SciPy and most of the rest of the scientific Python suite. Can I see your test suite? Logs from the latest continuous integration run? Code coverage? I can for NumPy all 10,000+ tests, on multiple platforms (Windows, MacOS, Linux) and the code coverage. New function interfaces undergo a rigorous design process that typically involves dozens to hundreds of developer-hours per function. The same is true of NumPy and SciPy, many of the names are identical to thier MATLAB equivalents.
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