Description:
Package for scientific computing with Python
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Type: Formula
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Latest Version: 2.3.5@0
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Tracked Since: Dec 20, 2025
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Links:
Homepage |
@numpy_team |
formulae.brew.sh
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Category: Developer tools
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Tags:
scientific-computing
python
data-science
numerical-analysis
arrays
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Install:
brew install numpy
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About:
NumPy is the fundamental package for scientific computing in Python, providing support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays. It serves as the foundational data structure library for the broader Python scientific ecosystem, enabling efficient numerical operations essential for data analysis and research.
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Key Features:
- Powerful N-dimensional array object
- Broadcasting and vectorized operations for performance
- Comprehensive mathematical functions library
- Interoperability with C/C++ and Fortran code
- Integration with scipy, pandas, and matplotlib
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Use Cases:
- Data analysis and statistical modeling
- Machine learning model development and training
- Scientific research and numerical simulations
- Image and signal processing applications
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Alternatives:
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pandas
– Built on NumPy, provides higher-level data structures (DataFrames) for tabular data manipulation
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JAX
– Offers NumPy-like API with automatic differentiation and GPU/TPU acceleration for ML research
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| Dec 20, 2025 10:42pm |
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