UsefulLinks
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
3.
Data Types in NumPy
3.1.
NumPy Data Type System
3.1.1.
Type Hierarchy
3.1.2.
Platform Dependencies
3.2.
Integer Types
3.2.1.
np.int8
3.2.2.
np.int16
3.2.3.
np.int32
3.2.4.
np.int64
3.2.5.
np.uint8
3.2.6.
np.uint16
3.2.7.
np.uint32
3.2.8.
np.uint64
3.3.
Floating Point Types
3.3.1.
np.float16
3.3.2.
np.float32
3.3.3.
np.float64
3.3.4.
np.longdouble
3.4.
Complex Types
3.4.1.
np.complex64
3.4.2.
np.complex128
3.4.3.
np.clongdouble
3.5.
Other Types
3.5.1.
np.bool_
3.5.2.
np.object_
3.5.3.
np.string_
3.5.4.
np.unicode_
3.6.
Type Casting and Conversion
3.6.1.
astype() Method
3.6.2.
Automatic Type Promotion
3.6.3.
Safe vs. Unsafe Casting
3.6.4.
Copy vs. View in Type Casting
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4. Array Creation Techniques