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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
Indexing and Slicing
Basic Indexing
Single Element Access
1-D Array Indexing
Multi-dimensional Indexing
Negative Indexing
Multiple Element Access
Tuple Indexing
Ellipsis Usage
Basic Slicing
Slice Notation
start:stop:step Syntax
Default Values
1-D Array Slicing
Multi-dimensional Slicing
Row Slicing
Column Slicing
Submatrix Extraction
Slice Assignment
Advanced Indexing
Boolean Array Indexing
Creating Boolean Masks
Conditional Selection
Combining Multiple Conditions
Boolean Assignment
Integer Array Indexing
Fancy Indexing Basics
Multi-dimensional Fancy Indexing
Combining with Slicing
Index Arrays and Broadcasting
Views vs. Copies
Understanding Views
When Copies are Created
Explicit Copy Creation
Memory Implications
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6. Array Manipulation and Reshaping