NumPy's max() or max(), which one is faster?If we have a numpy array, we should use numpy.max() but if we have a built-in list then most of the time takes converting it into numpy.ndarray hence, we must use arr/list.max()....
Python is faster at dealing with large datasets. It can load files with ease, making it more appropriate for big data handlers. With all this in mind, choosing which language you’ll start with depends on what you want from it. If you specialize in statistical analysis or work in research...
Word of Caution:Data Science/Machine Learning has a very big domain and there are a lot of things to learn. This by no means is an exhaustive list and is just for helping you out if you are struggling to find some good resources to start your preparation. However, I try to cover and...
list comprehension slicing lambda functions regular expressions map and reduce functions and slice assignments you ll also learn how to leverage data structures to solve real world problems like using boolean indexing to find cities with above average pollution use numpy basics such as array shape ...