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Data Visualization with Python
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Preface
Visual Foundations
Visualization Thinking and Chart Choice
Environment, Data, and Reproducible Workflows
Core Visualization Libraries
Matplotlib Foundations
Statistical Visualization with Seaborn
Grammar of Graphics with Plotnine
Interactive Visualization with Plotly
Declarative Interactivity with Altair
Analytical and Specialized Visuals
Distributions, Relationships, and Multivariate Views
Time Series and Event Visualization
Uncertainty and Statistical Evidence
Geospatial Visualization
Network and Flow Visualization
Text, Categorical, and Compositional Visualization
Design and Communication
Color, Layout, Annotation, and Accessibility
Data Storytelling and Visual Critique
Interactive Delivery and Production
Service Operations
Publishing, Automation, and Figure Governance
Case Study
End-to-End Visualization Case Study
Appendix
References
Data Visualization with Python
Modern, Reproducible Visual Communication for Data Projects
Published
Aug 2026
Free Guide · Updated Aug 2026
Preface
