Matplotlib — Baby Steps: Step 1
Introduction · Importance · Keywords · History · Interactive Example
🧩 Introduction
Matplotlib is Python’s most popular 2D plotting library. It allows developers and data scientists to visualize data as charts, graphs, and figures — all customizable and publication-ready.
🎯 Importance
- Core tool for Data Science & AI Visualization
- Foundation for libraries like Seaborn and Pandas Plot
- Highly customizable for dashboards and reports
- Compatible with Jupyter Notebooks and scripts
🗝️ Keywords
- Figure
- Axes
- Subplot
- Legend
- Colormap
📜 Short History
Matplotlib was created by John D. Hunter in 2002 to bring MATLAB-style plotting to Python. Today, it powers visualizations across science, finance, education and engineering.
🔗 Useful Links
Matplotlib DocsNumPy — arrays for plots
Pyodide — Run Python in Browser
Seaborn — High-Level Plots
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