NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-01-22 00:17:58 UTC
- JSON Representation
https://github.com/intelpython/dpbench
Benchmark suite to evaluate Data Parallel Extensions for Python
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https://github.com/primitiv/primitiv-python
Python binding of primitiv.
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Tiny, easy to understand deep learning library in Python. With GPU support and only in numpy :)
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Send Python Numpy Array over TCP/IP socket with simple codes.
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Easy to use CMATERdb datasets converted in NumPy format
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A pickleable wrapper for sharing NumPy ndarrays between processes using POSIX shared memory.
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ODE system solver using dG(q), time-discontinuous Galerkin with Lobatto basis.
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https://github.com/devinterview-io/numpy-interview-questions
🟣 NumPy interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
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Efficiently send large arrays across machines
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Spark-Kafka Realtime recommender Engine.
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Weighted least squares meshless interpolator and differentiator.
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https://github.com/rsalmei/tsp-essay
A fun study of some heuristics for the Travelling Salesman Problem.
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https://github.com/zeta611/golpy
Efficient Conway's Game of Life implemented in Python using NumPy.
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https://github.com/anujdutt9/recurrentneuralnetwork
Recurrent Neural Network from scratch using Python and Numpy
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https://github.com/bjpcjp/numeric-python
Covers a variety of computational topics including integration, differential equations, statistical analysis and signal processing.
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https://github.com/upul/logistic_regression
Logistic Regression from the Scratch using Python and Numpy
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Simulation of Quantum Key Distribution Protocols
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YouML: A Machine Learning Toolkit
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Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
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https://github.com/sksalahuddin2828/data_visualization_ii
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