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Computer Science
Other Tools and Technologies
Jupyter Notebooks
1. Introduction to Jupyter Notebooks
2. Installation and Setup
3. The Jupyter User Interface
4. Core Concepts
5. Working with Code Cells
6. Writing and Formatting with Markdown
7. Data Visualization
8. Magic Commands
9. Advanced Features
10. Best Practices and Workflow
11. Sharing and Export
12. The Broader Jupyter Ecosystem
10.
Best Practices and Workflow
10.1.
Notebook Structure
10.1.1.
Introduction Section
10.1.2.
Setup and Imports
10.1.3.
Data Loading
10.1.4.
Data Cleaning
10.1.5.
Exploratory Analysis
10.1.6.
Modeling and Analysis
10.1.7.
Results and Visualization
10.1.8.
Conclusion
10.1.9.
Documentation Standards
10.2.
Version Control Integration
10.2.1.
Git Challenges with Notebooks
10.2.2.
NBdime for Better Diffs
10.2.3.
Gitignore Configuration
10.2.4.
Collaboration Strategies
10.2.5.
Notebook Versioning
10.3.
Code Organization
10.3.1.
Modularity Principles
10.3.2.
Function Extraction
10.3.3.
External Python Files
10.3.4.
Import Strategies
10.3.5.
Project Structure
10.4.
Documentation and Comments
10.4.1.
Code Documentation
10.4.2.
Markdown Documentation
10.4.3.
Inline Comments
10.4.4.
Docstring Usage
10.5.
Performance Optimization
10.5.1.
Efficient Code Practices
10.5.2.
Memory Management
10.5.3.
Large Dataset Handling
10.5.4.
Kernel Resource Management
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9. Advanced Features
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11. Sharing and Export