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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
Array Manipulation and Reshaping
Shape Manipulation
reshape()
Reshaping Constraints
Automatic Dimension Inference
Order Parameter
resize()
ravel()
flatten()
squeeze()
expand_dims()
Axis Manipulation
transpose()
swapaxes()
moveaxis()
rollaxis()
Array Joining
concatenate()
vstack()
hstack()
dstack()
stack()
column_stack()
row_stack()
Array Splitting
split()
hsplit()
vsplit()
dsplit()
array_split()
Element Addition and Removal
insert()
append()
delete()
unique()
Array Repetition
tile()
repeat()
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7. Universal Functions (ufuncs)