Jupyter Notebooks

  1. Best Practices and Workflow
    1. Notebook Structure
      1. Introduction Section
        1. Setup and Imports
          1. Data Loading
            1. Data Cleaning
              1. Exploratory Analysis
                1. Modeling and Analysis
                  1. Results and Visualization
                    1. Conclusion
                      1. Documentation Standards
                      2. Version Control Integration
                        1. Git Challenges with Notebooks
                          1. NBdime for Better Diffs
                            1. Gitignore Configuration
                              1. Collaboration Strategies
                                1. Notebook Versioning
                                2. Code Organization
                                  1. Modularity Principles
                                    1. Function Extraction
                                      1. External Python Files
                                        1. Import Strategies
                                          1. Project Structure
                                          2. Documentation and Comments
                                            1. Code Documentation
                                              1. Markdown Documentation
                                                1. Inline Comments
                                                  1. Docstring Usage
                                                  2. Performance Optimization
                                                    1. Efficient Code Practices
                                                      1. Memory Management
                                                        1. Large Dataset Handling
                                                          1. Kernel Resource Management

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                                                        9. Advanced Features

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                                                        11. Sharing and Export