NumPy and Random Data
- Random sampling in numpy | ranf() function
- Random sampling in numpy | random() function
- Random sampling in numpy | random_sample() function
- Random sampling in numpy | sample() function
- Random sampling in numpy | random_integers() function
- Random sampling in numpy | randint() function
- Get random elements from NumPy – random.choice()
- How to choose elements from the list with different probability using NumPy?
- How to get weighted random choice in Python?
- How to get the random positioning of different integer values?
- Get Random Elements form geometric distribution
- Get Random samples of a sequence of permutation
NumPy Tutorial – Python Library
NumPy is a general-purpose array-processing Python library which provides handy methods/functions for working n-dimensional arrays. NumPy is a short form for “Numerical Python“. It provides various computing tools such as comprehensive mathematical functions, and linear algebra routines.
- NumPy provides both the flexibility of Python and the speed of well-optimized compiled C code.
- Its easy-to-use syntax makes it highly accessible and productive for programmers from any background.
This NumPy tutorial helps you learn the fundamentals of NumPy from Basics to Advanced, like operations on NumPy array, creating and plotting random data sets, and working with NumPy functions.