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Matplotlib

A complete Matplotlib course for AI and data visualization, covering figures, axes, line charts, scatter plots, bars, histograms, labels, legends, annotations, multiple plots, images, model evaluation charts, and publication-ready visualizations.

Course map
Beginner → practical: This 60-chapter course starts with the basics and progresses into AI-oriented workflows. Every chapter includes simple explanations, technical words in parentheses, real-world code, expected output, step-by-step explanation, exercises, common mistakes, and Q&A.

Complete 60-Chapter Course

  1. Chapter 1: What Matplotlib Is
  2. Chapter 2: Installing and Importing Matplotlib
  3. Chapter 3: Your First Plot
  4. Chapter 4: Figures and Axes
  5. Chapter 5: Line Charts
  6. Chapter 6: Multiple Lines
  7. Chapter 7: Markers
  8. Chapter 8: Line Styles
  9. Chapter 9: Line Width
  10. Chapter 10: Plot Colors Concepts
  11. Chapter 11: Titles
  12. Chapter 12: Axis Labels
  13. Chapter 13: Legends
  14. Chapter 14: Grid Lines
  15. Chapter 15: Axis Limits
  16. Chapter 16: Ticks
  17. Chapter 17: Tick Labels
  18. Chapter 18: Figure Size
  19. Chapter 19: Saving Figures
  20. Chapter 20: DPI Concepts
  21. Chapter 21: Scatter Plots
  22. Chapter 22: Scatter Point Size
  23. Chapter 23: Scatter Transparency
  24. Chapter 24: Color Mapping Concepts
  25. Chapter 25: Bar Charts
  26. Chapter 26: Horizontal Bar Charts
  27. Chapter 27: Grouped Bar Charts Concepts
  28. Chapter 28: Stacked Bar Charts Concepts
  29. Chapter 29: Histograms
  30. Chapter 30: Histogram Bins
  31. Chapter 31: Pie Charts Concepts
  32. Chapter 32: Box Plots
  33. Chapter 33: Violin Plots Concepts
  34. Chapter 34: Error Bars
  35. Chapter 35: Area Plots Concepts
  36. Chapter 36: Step Plots
  37. Chapter 37: Stem Plots Concepts
  38. Chapter 38: Annotations
  39. Chapter 39: Text on Charts
  40. Chapter 40: Arrows and Callouts
  41. Chapter 41: Multiple Axes Concepts
  42. Chapter 42: Multiple Panels with subplots
  43. Chapter 43: Shared Axes Concepts
  44. Chapter 44: Tight Layout Concepts
  45. Chapter 45: Images with imshow
  46. Chapter 46: Colorbars
  47. Chapter 47: Heatmaps Concepts
  48. Chapter 48: Plotting NumPy Arrays
  49. Chapter 49: Plotting pandas Data
  50. Chapter 50: Date and Time Plots
  51. Chapter 51: Training Loss Curves
  52. Chapter 52: Accuracy Curves
  53. Chapter 53: Confusion Matrix Visualization
  54. Chapter 54: Feature Distribution Plots
  55. Chapter 55: Regression Result Plots
  56. Chapter 56: Residual Plots
  57. Chapter 57: Mini Project: Model Training Dashboard
  58. Chapter 58: Mini Project: Sales Visualization
  59. Chapter 59: Mini Project: Image Display
  60. Chapter 60: Capstone: AI Visualization Report

Course features

  • Responsive top logo and main menu.
  • Chapter menu below the main header, with all 60 links on mobile and desktop.
  • Chapter search, font increase/decrease, night view, print, and go-to-top.
  • Google Translate area with RTL-safe behavior and no intentional horizontal page movement.
  • Original lessons, SEO metadata, structured data, course map, sitemap, robots file, and legal notice.