Data Visualization with Python

9.

Performance Optimization and Best Practices

9.1.

Code Organization and Structure

9.1.1.

Modular Visualization Code

9.1.2.

Function Design Patterns

9.1.3.

Configuration Management

9.1.4.

Version Control for Visualizations

9.2.

Performance Considerations

9.2.1.

Data Preprocessing

9.2.2.

Memory Management

9.2.3.

Rendering Optimization

9.2.4.

Caching Strategies

9.3.

Testing and Validation

9.3.1.

Visual Regression Testing

9.3.2.

Data Validation

9.3.3.

Cross-Browser Compatibility

9.3.4.

Accessibility Testing

9.4.

Documentation and Reproducibility

9.4.1.

Code Documentation

9.4.2.

Visualization Documentation

9.4.3.

Environment Management

9.4.4.

Sharing and Collaboration

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8. Data Storytelling and Design Principles

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1. Introduction to Data Visualization