What is NumPy, how to install and use

What is NumPy?

• NumPy (Numerical Python) is a core Python library for numerical and scientific computing.
• It provides:
• • Multidimensional arrays (ndarray) that are much faster and more efficient than Python lists.
  • Mathematical functions for linear algebra, statistics, random numbers, and more.
  • Tools for working with large datasets and numerical computations.

In short, NumPy is the foundation of numerical computing in Python.

Installing NumPy

You can install it using pip:

Including NumPy in Your Code

Once installed, import it in Python:

By convention, it’s always imported as np.

Why NumPy is Fundamental

NumPy acts as the backbone for many popular Python data and scientific libraries, including:

• Pandas → built on top of NumPy arrays for efficient data handling.
• Matplotlib → relies on NumPy for plotting numerical data.
• SciPy → extends NumPy with advanced scientific and engineering functions.
• Scikit-learn → uses NumPy arrays for machine learning algorithms.
• TensorFlow / PyTorch → concepts of tensors are extensions of NumPy arrays.

Without NumPy, these higher-level libraries wouldn’t be nearly as efficient.

NumPy is the numerical engine that powers much of Python’s data science, AI, and machine learning ecosystem.