Installation

The easiest way to install pyufunc is to install it as part of the Anaconda distribution, a cross platform distribution for data analysis and scientific computing. The Conda package manager is the recommended installation method for most users.

Python version support

Officially Python 3.9 or higher.

Installing pyufunc

Installing from PyPI

pyufunc can be installed via pip from PyPI.

pip install pyufunc

Note

It is recommended to install and run pyufunc from a virtual environment, for example, using the Python standard library’s venv

Handling ImportErrors

If you encounter an ImportError, it usually means that Python couldn’t find pyufunc in the list of available libraries. Python internally has a list of directories it searches through, to find packages. You can obtain these directories with.

import sys
sys.path

One way you could be encountering this error is if you have multiple Python installations on your system and you don’t have pyufunc installed in the Python installation you’re currently using. In Linux/Mac you can run which python on your terminal and it will tell you which Python installation you’re using. If it’s something like “/usr/bin/python”, you’re using the Python from the system, which is not recommended.

It is highly recommended to use conda, for quick installation and for package and dependency updates.

Dependencies

Required dependencies

pyufunc requires no dependencies.

Optional dependencies used by specific utility functions are not installed automatically. If a function requires a missing package, pyufunc reports the missing dependency and skips the function call. Install the package manually, or explicitly opt in to automatic installation where supported, for example import_package("package-name", auto_install=True).