Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...
Don't test your code? pytest removes any excuses. Software developers don't just write software; they also use software. So, they're the first to recognize, and understand, that software is complex ...
Use NumPy's RNG to make random arrays for quick testing of stats functions. Generate normal data and set mean/std by adding and scaling; visualize with Seaborn. Run regressions and correlations ...
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