# NumPy is a powerful library for numerical and scientific computing in Python.# It provides an array object called ndarray, which is the foundation for data manipulation in data science.
Diverse Data Types
# NumPy supports a wide range of data types, including integers, floating-point numbers, complex numbers, and more.#Examples: int32, float64, bool, and more.
# Choosing the right data type in NumPy is crucial for optimizing performance and memory usage in your code.# Smaller data types save memory and improve computation speed.
Use Cases
# It is used in various fields, including physics, finance, and machine learning.# In physics, NumPy helps simulate and analyze complex physical systems efficiently.