pipenv

I'm starting to try and get a working pipenv, however on my Mac, it is appears that my Python enviroment is a little screwed. I removed OS X python following this post , and installed both python2.7 and python3.7 using brew. But now when trying to use pipenv(2.7) to create a virtualenv, and pipfile, I keep getting an error about python 3.7, when locking pacakges: $ pipenv --python=/usr/local/bin/python install pynetbox ipaddress Virtualenv already exists! Removing existing virtualenv... Creating a virtualenv for this project... Pipfile: /Users/daniel/scripts/netbox/Pipfile ... adding ipaddress

Today, I installed Pipenv via pip install pipenv As mentioned in the documentation I went to a test directory and created a new virtual environment using pipenv shell and tried to install a package via pipenv install numpy I got the following error message: Installing numpy… ⠧ Error: An error occurred while installing numpy! Traceback (most recent call last): File "/Users/florian/.local/share/virtualenvs/test-bJfQ6Jzk/bin/pip", line 7, in <module> from pip._internal import main ModuleNotFoundError: No module named 'pip._internal' This error occurs even after reinstalling pipenv, deleting all

I have a core set of bash aliases defined in my .bash_profile (Mac). But when I activate a pipenv with pipenv shell , my aliases don't work and the bash alias command returns nothing. Is there a configuration step needed to spawn pipenv shells that inherit bash aliases from the parent shell? Aliases are never inherited. .bash_profile is only sourced for login shells, and pipenv apparently creates a nonlogin interactive shell. Aliases should be defined in .bashrc , and on a Mac (where terminal emulators starts login shells by default), add [[ -f ~/.bashrc ]] && source ~/.bashrc to the end of

My Ubuntu 16.04.03 is installed with Python 3.5.2. How do I setup pipenv to use Python 3.6 when my system does not have python 3.6? $ pipenv --python 3.6 Warning: Python 3.6 was not found on your system… You can specify specific versions of Python with: $ pipenv --python path/to/python Either manually write the version you need in your Pipfile: [requires] python_version = "3.6" Or install it on your system. But I guess you will need the version to be installed if you plan to actually run pipenv install . I would suggest to use pyenv : https://github.com/pyenv/pyenv . Follow the installation

Im installing pipenv in my docker: RUN pip install pipenv RUN cd /my/app/path/ && pipenv install RUN cd /my/app/path/ && pipenv shell Im getting the error: Traceback (most recent call last): File "/usr/local/bin/pipenv", line 11, in <module> sys.exit(cli()) File "/usr/local/lib/python2.7/dist-packages/pipenv/vendor/click/core.py", line 722, in __call__ return self.main(*args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/pipenv/vendor/click/core.py", line 697, in main rv = self.invoke(ctx) File "/usr/local/lib/python2.7/dist-packages/pipenv/vendor/click/core.py", line 1066, in invoke

I've been making a python project using pipenv, and I want to be able to run it in a terminal from any location on my (linux) system. Specifically, say I have the following directory structure: /home /project Pipfile main.py /other_dir I would like to be able to make an alias that allows me to call main.py like so: /home/other_dir$ alias_to_my_proyect --some args and run it in the virtual env, having the same behaviour as /home/project$ pipenv run python main.py But in another directory. If it weren't a pipenv project, I'd just use a shebang a the start of the file and then add an alias to it

简介 Pipenv，它的项目简介为 Python Development Workflow for Humans，是 Python 著名的 requests 库作者 kennethreitz 写的一个包管理工具，它可以为我们的项目自动创建和管理虚拟环境并非常方便地管理 Python 包，我们可以简单理解为 pip、Pipfile 和 virtualenv 的集合体，它可以为我们的项目自动创建和管理一个虚拟环境。现在它也已经是 Python 官方推荐的包管理工具。 总的来说，Pipenv 可以解决如下问题： 我们不需要再手动创建虚拟环境，Pipenv 会自动为我们创建，它会在某个特定的位置创建一个 virtualenv 环境，然后调用 pipenv shell 命令切换到虚拟环境。 使用 requirements.txt 可能会导致一些问题，所以 Pipenv 使用 Pipfile 和 Pipfile.lock 来替代之，而且 Pipfile 如果不存在的话会自动创建，而且在安装、升级、移除依赖包的时候会自动更新 Pipfile 和 Pipfile.lock 文件。 广泛使用 Hash 校验，保证安全性。 可以更清晰地查看 Python 包及其关系，调用 pipenv graph 即可呈现，结果简单明了。 可通过自动加载 .env 读取环境变量，简化开发流程。 安装