Efficient Python part 4: Basic Pandas Optimisation

Welcome to the fourth and last part out of four in the series on how to write more efficient python code. In the first part, we checked the very basics: Pythonic code, built-in functions, and just a bit on how numpy can improve speed. In the second part we learned how to measure which code is faster and enable comparison of efficiency. In the third part we checked some ways to make tour code more…