Episode 2: Analyzing Patient Data introduces the axis parameter of array functions. Whilst teaching this section I realized that many learners begin to question the logic of the axis and its purpose.

print numpy.sum(my_array, axis = 0) #Output : [4 6] print numpy.sum(my_array, axis = 1) #Output : [3 7] print numpy.sum(my_array, axis = None) #Output : 10 print numpy.sum(my_array) #Output : 10 By ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...