Python Libraries Every Data Analyst Should Know

NumPy: Essential for numerical computing, providing support for large multi-dimensional arrays and matrices.

Pandas: A powerful library for data manipulation and analysis, offering data structures like DataFrames.

Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python.

SciPy: Builds on NumPy and provides additional functionality for scientific and technical computing.

Scikit-learn: A robust library for machine learning, offering simple and efficient tools for data mining and data analysis.