A Visual Introduction to NumPy helped me think of np.array differently a Python list
I’ve started using numpy more frequently in my own work.
Problem: I think of np.array like a Python list. But that’s not right.
This visualization guide helped me think of them differently.
Learn numpy features to see why you should use numpy - high performance, multidimensional container, broadcasting functions, working with varied databases
Learn the uses of numpy - Alternate for lists in python, multi dimensional array, mathematical operations. See numpy applications with python libraries.
Learn NumPy Copy and View - Deep Copy, shallow copy and No copy in NumPy, NumPy view creation and types with examples, NumPy View vs Copy
Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script. NumPy is one such package to ease array computations.
Learn about NumPy Array, NumPy Array creation, various array functions, array indexing & Slicing, array operations, methods and dimensions,It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.