.. _install: ============ 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. .. _install.version: Python version support ---------------------- Officially Python 3.9 or higher. Installing pyufunc ------------------ Installing from PyPI ~~~~~~~~~~~~~~~~~~~~ pyufunc can be installed via pip from `PyPI `__. .. code-block:: python 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. .. code-block:: python 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)``. .. ================================================================ ========================== .. Package Minimum supported version .. ================================================================ ========================== .. `NumPy `__ 1.23.5 .. `python-dateutil `__ 2.8.2 .. `pytz `__ 2020.1 .. `tzdata `__ 2022.7 .. ================================================================ ==========================