Application overview
NumPy provides multidimensional arrays and numerical operations used across scientific Python. Installation options and source-build requirements are documented by the project.
Typical use cases
Array computing and numerical analysis.
HPC compatibility
Compatibility details shown here reflect administrator-maintained project information. Review the upstream release documentation against your exact operating system, drivers, accelerator, MPI stack, and cluster policy before deployment.
GPU compatibility is not specified in this directory record.
Installation instructions
Commands are project-specific notes. Confirm prerequisites and linked upstream instructions for your own release and system. Do not run administrative commands without review.
Python virtual environment
Prerequisites: Python 3 and venv available
python -m venv .venv
# Linux / macOS: source .venv/bin/activate
# Windows PowerShell: .venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install numpyCreates an isolated environment and installs the PyPI package documented by NumPy.
Verify: python -c "import numpy; print(numpy.__version__)"
Review: Use a project environment. Avoid changing system Python packages.
Documentation for these steps ↗Upstream references
- Project homepage ↗
- Source repository ↗ Link status: Verified
- Documentation ↗
- Download / package page ↗
Link details last reviewed 2026-10-12 by MCR Tech. Project versions, licenses, hardware behavior, and hosted model access can change; follow current upstream terms.
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