pypa/packaging.python.org — Chinese (Traditional) @ Hosted Weblate: Spack

Zen

	English	Chinese (Traditional)	Actions
	Similar to the situation on Windows, many projects (including NumPy) publish macOS installers that are compatible with the macOS CPython binaries published on python.org.
	macOS users also have access to Linux distribution style package managers such as ``Homebrew``. The SciPy site has more details on using Homebrew to `install SciPy on macOS <https://scipy.org/install/#macos>`_.
	SciPy distributions
	The SciPy site lists `several distributions <https://scipy.org/install/#distributions>`_ that provide the full SciPy stack to end users in an easy to use and update format.
	Some of these distributions may not be compatible with the standard ``pip`` and ``virtualenv`` based toolchain.
	Spack	Spack
	`Spack <https://github.com/spack/spack>`_ is a flexible package manager designed to support multiple versions, configurations, platforms, and compilers. It was built to support the needs of large supercomputing centers and scientific application teams, who must often build software many different ways. Spack is not limited to Python; it can install packages for ``C``, ``C++``, ``Fortran``, ``R``, and other languages. It is non-destructive; installing a new version of one package does not break existing installations, so many configurations can coexist on the same system.
	Spack offers a simple but powerful syntax that allows users to specify versions and configuration options concisely. Package files are written in pure Python, and they are templated so that it is easy to swap compilers, dependency implementations (like MPI), versions, and build options with a single package file. Spack also generates module files so that packages can be loaded and unloaded from the user's environment.
	The conda cross-platform package manager
	`Anaconda <https://www.anaconda.com/products/individual/>`_ is a Python distribution published by Anaconda, Inc. It is a stable collection of Open Source packages for big data and scientific use. As of the 5.0 release of Anaconda, about 200 packages are installed by default, and a total of 400-500 can be installed and updated from the Anaconda repository.
	``conda`` is an open source (BSD licensed) package management system and environment management system included in Anaconda that allows users to install multiple versions of binary software packages and their dependencies, and easily switch between them. It is a cross-platform tool working on Windows, macOS, and Linux. Conda can be used to package up and distribute all kinds of packages, it is not limited to just Python packages. It has full support for native virtual environments. Conda makes environments first-class citizens, making it easy to create independent environments even for C libraries. It is written in Python, but is Python-agnostic. Conda manages Python itself as a package, so that :command:`conda update python` is possible, in contrast to pip, which only manages Python packages. Conda is available in Anaconda and Miniconda (an easy-to-install download with just Python and conda).

Loading…

hugoalh

Translation added

English

Chinese (Traditional) 5 characters edited Current translation Translated

3 weeks ago

Browse all string changes

Things to check

Unchanged translation

Source and translation are identical

Reset

Glossary

English	Chinese (Traditional)
No related strings found in the glossary.

String information

Flags

placeholders:BigQuery:easy_install:HTML:HTTP:Linux:pip:PSF:PyPI:Python:setuptools:venv:virtualenv:Windows:":pep:`440`":``pip``:``setuptools``:"::":|PyPUG|, rst-text

Source string location

../source/guides/installing-scientific-packages.rst:100 • ../source/key_projects.rst:808

String age

2 years ago

Last updated

3 weeks ago

Source string age

2 years ago

Translation file

locales/zh_Hant/LC_MESSAGES/messages.po, string 828