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 Docs
NumPy — arrays for plots
Pyodide — Run Python in Browser
Seaborn — High-Level Plots

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