virtualenv | 易学教程

Illegal hardware instruction when trying to import tensorflow

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问题 I just installed tensorflow using the instructions for the virtualenv method. The installation process went smoothly, so I don't think there was any problem there. After installation I proceeded to try and import it to validate that everything is ok, and I got the following message: [1] 4492 illegal hardware instruction (core dumped) python This happened after I use the following command using th python interactive console: import tensorflow as tf I tried using the link with pip to reinstall

Illegal hardware instruction when trying to import tensorflow

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Illegal hardware instruction when trying to import tensorflow

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Updating Python interpreter in multiple projects at the same time

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问题 Using PyCharm, it's possible to have multiple projects in the same window / environment. Each project has its own interpreter configuration in the Project > Python Interpreter section. Is there an easy way to switch all projects to the same interpreter at once? The "quick switcher" in the status bar only updates whatever is considered the "current project" (the project containing the current or last open files). Switching to a single project and multiple content roots is not an option as it

How to set PIPENV_VENV_IN_PROJECT on per-project basis

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问题 I want pipenv to create its virtualenv in $PROJECTDIR/.venv automatically for everyone who checks out the project. So far, I see only the following options working, none of which is satisfying: Ask users to set PIPENV_VENV_IN_PROJECT=1 globally, forcing my project preferences on each of their other projects. Ask users to always invoke pipenv via " PIPENV_VENV_IN_PROJECT=1 pipenv " when inside my project, which begs for trouble if they run a pipenv command and forget to set PIPENV_VENV_IN

pip listing global packages in active virtualenv

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问题 After upgrading pip from 1.4.x to 1.5 pip freeze outputs a list of my globally installed (system) packages instead of the ones installed inside of my virtualenv. I've tried downgrading to 1.4 again but that does not solve my problem. It's somewhat similar to this question only it's been working as expected for months. Is there any way to debug and/or repair this? It seems like the virtualenv has no effect at all. Installing packages within it installs them globally too. 回答1: I had problems

How do I downgrade my version of python from 3.7.5 to 3.6.5 on ubuntu

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问题 So currently, I have ubuntu 19. And it comes by default with python 3.7.5. I need to downgrade to 3.6.5. EDIT: I am using virtualenv 回答1: The following talks about upgrade from 3.6.7 to 3.7.0 but you can use the same process for downgrade. You should not change the system python unless you really know what you're doing First Install Pyenv Installlation Instructions are here Look at Pyenv Options $ pyenv pyenv 1.2.14 Usage: pyenv <command> [<args>] Some useful pyenv commands are: commands List

Python创建虚拟环境

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Python创建虚拟环境创建虚拟环境是为了让项目运行在一个独立的局部的Python环境中，使得不同环境的项目互不干扰。一、用命令创建虚拟环境 1. 安装虚拟环境的第三方包 virtualenv pip install virtualenv 使用清华源安装： pip install virtualenv -i https://pypi.python.org/simple/ 2. 创建虚拟环境 cd 到存放虚拟环境光的地址 virtualenv ENV 在当前目录下创建名为ENV的虚拟环境（如果第三方包virtualenv安装在python3下面，此时创建的虚拟环境就是基于python3的） virtualenv -p /usr/local/bin/python2.7 ENV2 参数 -p 指定python版本创建虚拟环境 virtualenv --system-site-packages ENV 参数 --system-site-packages 指定创建虚拟环境时继承系统三方库 4. 激活/退出虚拟环境 cd ~/ENV 跳转到虚拟环境的文件夹 source bin/activate 激活虚拟环境 pip list 查看当前虚拟环境下所安装的第三方库 deactivate 退出虚拟环境 5. 删除虚拟环境直接删除虚拟环境所在目录即可二

创建 python 虚拟环境

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conda 创建环境 conda 可以理解为一个工具，也是一个可执行命令，其核心功能是包管理与环境管理。包管理与 pip 的使用类似，环境管理则允许用户方便地安装不同版本的 python 并可以快速切换。 conda 的设计理念—— conda 将几乎所有的工具、第三方包都当做 package 对待，甚至包括 python 和 conda 自身；Anaconda 则是一个打包的集合，里面预装好了conda、某个版本的 python、众多 packages、科学计算工具等等。首先在所在系统中安装 Anaconda。可以打开命令行输入 conda -V 检验是否安装以及当前 conda 的版本。 conda常用的命令。 conda list 查看安装了哪些包。 conda env list 或 conda info -e 查看当前存在哪些虚拟环境 conda update conda 检查更新当前 conda 创建 Python 虚拟环境。使用 conda create -n your_env_name python=X.X（2.7、3.6等） anaconda 命令创建 python 版本为 X.X、名字为 your_env_name 的虚拟环境。 your_env_name 文件可以在 Anaconda 安装目录 envs 文件下找到。 # 指定 python 版本为3.6.5

Function not implemented: 'lib' -> 'my/path/to/venv/lib64'

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问题 OS: Manjaro Python: 3.8 On my computer I have 2 partitions, one is where my Manjaro is installed, and the other one it's a secondary SSD. Every time when I'm running this command virtualenv env into my secondary SSD I'm getting the following error: OSError: [Errno 38] Function not implemented: '/usr/bin/python3' -> 'path/to/my/env/bin/python' Also the same with this command python3 -m venv tutorial-env I'm getting the same error. But the interesting fact is that if I'm trying to run any of