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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 Aggregation and Statistics
Basic Aggregation Functions
sum()
prod()
mean()
std()
var()
min()
max()
ptp()
Positional Functions
argmin()
argmax()
argwhere()
nonzero()
where()
Cumulative Functions
cumsum()
cumprod()
diff()
gradient()
Statistical Functions
median()
percentile()
quantile()
histogram()
bincount()
corrcoef()
cov()
Axis-specific Operations
Specifying Axis Parameter
Multiple Axes
keepdims Parameter
Handling Missing Data
NaN-aware Functions
nansum()
nanmean()
nanstd()
nanvar()
nanmin()
nanmax()
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9. Broadcasting