Data scientist? Here are the python libraries that you should be bffs with.
NumPy, short for Numerical Python, is an open source package for scientific computing and data analysis. NumPy serves as the foundation of Python’s scientific computing stack. Among the features of NumPy is ndarray, or N-dimensional array object, which is a flexible storage for data sets in Python. It also contains tools for integrating C/C++ and has capabilities for random number generation and Fourier transform.
NumPy is often preferred over regular Python lists for a variety of reasons. It is seen to be convenient, owing to its many free vector and matrix operations. Data structures in NumPy also takes up less space and performance in terms of speed is better, as well.Hire NumPy Specialists
Consider the following experiment: You roll a pair of fair dice and calculate the sum of the faces. You are interested in the number of rolls it takes until you get a sum of "7". The first time you get a "7" the experiment is considered a "success". You record the number of rolls and you stop the experiment. You repeat the experiment N=100,000 times. Each time you k...