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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
The NumPy ndarray Object
Core Concept: The N-Dimensional Array
Definition of ndarray
Array Rank and Shape
Homogeneous Data Type
Importance of Single Data Type
Implications for Performance
Key Attributes of an ndarray
ndarray.ndim
ndarray.shape
ndarray.size
ndarray.dtype
ndarray.itemsize
ndarray.data
ndarray.strides
ndarray.flags
Array Methods Overview
Instance Methods vs. NumPy Functions
Method Chaining
In-place vs. Copy Operations
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