NumPy in Python
Understanding NumPy in Python What is NumPy? NumPy (Numerical Python) is a powerful Python library used for numerical computing. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently. Why Use NumPy? High Performance: NumPy operations are faster than traditional Python lists. Memory Efficient: Uses less memory compared to Python lists. Convenient: Provides many built-in mathematical functions. Supports Multidimensional Arrays: Enables handling of complex data structures. Used in Data Science & AI: Core library for machine learning and scientific computing. NumPy Array Creation Example import numpy as np arr = np.array([1, 2, 3, 4]) print(arr) Data Types in NumPy NumPy supports various data types (dty...