NumPy

NumPy (Numerical Python) is a fundamental library for scientific computing and data analysis in Python. It provides support for multi-dimensional arrays, mathematical functions, and linear algebra operations, making it essential for data science and machine learning projects.
Key Features of NumPy:
Efficient handling of large, multi-dimensional arrays
Fast mathematical operations and broadcasting support
Integration with machine learning libraries like TensorFlow and PyTorch
Optimized for performance using C and Fortran
Seamless support for data manipulation and analysis
Best Use Cases for NumPy:
Scientific computing and mathematical modeling
Machine learning preprocessing and data manipulation
Big data analysis with high-speed computations
Image processing and computer vision applications

Related Terms

CherryPy

Python

Web2py

Flask

Tornado

Grok

CherryPy

Python

Web2py

Flask

Tornado

Grok

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Dejan Velimirovic
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Stefan Mićić
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Aleksandar Pavlović
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Darko Simic
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Marko Tadic
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