Python Matplotlib Tutorial for Beginners | Matplotlib Pyplot Explained + Examples (W3Schools Style)

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In this video, you’ll learn Matplotlib in Python from scratch, perfect for beginners and anyone who wants a clear, practical explanation of Matplotlib pyplot.

We’ll cover everything step by step — from installing Matplotlib to creating line plots, bar charts, scatter plots, and customizing graphs. This tutorial follows a W3Schools-style approach with simple explanations and real examples you can run instantly.

✅ Python Matplotlib tutorial for beginners
✅ What is matplotlib pyplot in Python
✅ Matplotlib examples with clear explanations
✅ Difference between Matplotlib and Seaborn
✅ Best practices for data visualization

This guide works for Google Colab, Jupyter Notebook, Kaggle, and local Python setups.

🧠 What You’ll Learn

What is Matplotlib Python and how it works

How to use matplotlib pyplot

Create line, bar, scatter, and histogram charts

Customize titles, labels, legends, and colors

Save plots as images

When to use Seaborn vs Matplotlib

💻 Example Code Used
import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [10, 20, 25, 30]

plt.plot(x, y)
plt.title("Simple Line Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.show()

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