Python's Matplotlib library is a powerful tool for creating a wide variety of plots and charts. It is commonly used for data visualization in scientific and analytical applications. With W3Schools, you can learn the basics of Matplotlib, including how to create line plots, scatter plots, bar charts, histograms, and more. Jupyter Notebook is an ideal environment for using Matplotlib because it allows you to write and execute Python code in a cell-based format, displaying the plots directly within the notebook for interactive data exploration and visualization.