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Computer Science
Data Science
NumPy Library
1. Introduction to NumPy
2. The NumPy ndarray Object
3. Data Types in NumPy
4. Array Creation Techniques
5. Indexing and Slicing
6. Array Manipulation and Reshaping
7. Universal Functions (ufuncs)
8. Array Aggregation and Statistics
9. Broadcasting
10. Linear Algebra Operations
11. Random Number Generation
12. File Input and Output
13. Advanced NumPy Features
14. NumPy Ecosystem Integration
15. Best Practices and Common Pitfalls
File Input and Output
NumPy Binary Formats
Single Array Storage
save()
load()
Multiple Array Storage
savez()
savez_compressed()
Memory Mapping
memmap()
Memory-mapped File Operations
Text File Operations
Saving Text Files
savetxt()
Formatting Options
Custom Delimiters
Loading Text Files
loadtxt()
genfromtxt()
Handling Missing Data
Data Type Specification
Skip Rows and Columns
Structured Data I/O
Reading CSV Files
Handling Headers
Mixed Data Types
Performance Considerations
Binary vs. Text Formats
Compression Trade-offs
Large File Handling
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13. Advanced NumPy Features