英文:
Python environment
问题
当使用多个Python环境时，在开始处理特定项目之前是否可以激活所需的环境？如何选择正确的Python解释器和项目所需的依赖项？可以使用命令来进行激活吗？
英文:
When working with multiple Python environments, is it possible to activate the desired environment before working on a specific project. How to select correct Python interpreter and dependencies are used for that project? Activation can be done by using commands?
答案1
得分: 1
以下是virtualenv，conda和pipenv的激活命令：
virtualenv：Virtualenv是一个用于创建独立Python环境的工具。要激活virtualenv环境，您需要运行特定于您的操作系统的激活脚本。
在Windows上：
path\to\env\Scripts\activate
在Unix或Linux上：
source path/to/env/bin/activate
conda：Conda是由Anaconda提供的跨平台软件包和环境管理器。要激活conda环境，您需要使用以下命令：
conda activate environment_name
pipenv：Pipenv是将pip软件包管理和virtualenv功能结合在一起的工具。要激活pipenv环境，您可以使用以下命令：
pipenv shell
英文:
Here are the activation commands for virtualenv ,conda , pipenv :
virtualenv:Virtualenv is a tool for creating isolated Python environments. To activate a virtualenv environment, you need to run the activation script specific to your operating system.
On Windows:
path\to\env\Scripts\activate
On Unix or Linux:
source path/to/env/bin/activate
conda:Conda is a cross-platform package and environment manager provided by Anaconda. To activate a conda environment, you need to use the following command:
conda activate environment_name
pipenv: Pipenv is a tool that combines pip package management and virtualenv functionality. To activate a pipenv environment, you can use the following command:
pipenv shell
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