Встановіть відповідність до бібліотеки Scipy ?
Built on top of Numpy with its high-performance array-computing features
Flexible data manipulation capabilities of spreadsheets and relational databases
It provides more utility functions for optimization, stats and signal processing
Provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations
Extends NumPy providing additional tools for array computing and provides specialized data structures

Question

Встановіть відповідність до бібліотеки Scipy ? 
 Built on top of Numpy with its high-performance array-computing features 
 Flexible data manipulation capabilities of spreadsheets and relational databases 
 It provides more utility functions for optimization, stats and signal processing 
 Provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations 
 Extends NumPy providing additional tools for array computing and provides specialized data structures

Answer

Extends NumPy providing additional tools for array computing and provides specialized data structures

Answer

Provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations

Answer

It provides more utility functions for optimization, stats and signal processing

Answer

Built on top of Numpy with its high-performance array-computing features

Answer

Flexible data manipulation capabilities of spreadsheets and relational databases

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Встановіть відповідність до бібліотеки Scipy ? Built on top of Numpy with its ...

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