Data Visualization with Matplotlib & Seaborn

• Foundations of Matplotlib — Installation, architecture, your first plot • Plot Types & Use Cases — Line, bar, scatter, histogram, box, pie, 3D… • Subplots & Layouts — Multi-panel figures, GridSpec, dashboards • Customizing Axes & Legends — Ticks, labels, scales, twin axes • Annotations & Saving — Text, arrows, callouts, exporting figures • Seaborn Statistical Plots — Themes, palettes, distributions, regression • Advanced Seaborn — PairGrid, FacetGrid, jointplot, word clouds • 3D Visualization — Surface plots, wireframes, 3D scatter