pipenv | Python Development Workflow for Humans | Build Tool library
kandi X-RAY | pipenv Summary
kandi X-RAY | pipenv Summary
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Top functions reviewed by kandi - BETA
- Decorator to log the phase of each token .
- Decorator to define class attributes .
- Construct a set of charsets from a sequence of sequences .
- Install a project .
- Wrapper for urlopen .
- Main function for pygments .
- Create an Element Builder .
- Return the script to create init scripts .
- Install a wheel .
- Initialize the Pipenv .
pipenv Key Features
pipenv Examples and Code Snippets
Lines of Code : 0License : Permissive (MIT)
Copy**Pipenv** is a tool that aims to bring the best of all packaging worlds
(bundler, composer, npm, cargo, yarn, etc.) to the Python world.
*Windows is a first-class citizen, in our world.*
It automatically creates and manages a virtualenv for your pr Community Discussions
Trending Discussions on pipenv
QUESTION
I triyed to execute pipenv shell in a new environtment and I got the following error:
...ANSWER
Answered 2022-Feb-12 at 13:54By github issue, the solution that works was the following:
QUESTION
JupyterHub has various authentication methods, and the one I am using is the PAMAuthenticator, which basically means you log into the JupyterHub with your Linux userid and password.
However, environment variables that I create, like this (or for that matter in those set in my .bashrc), before running JupyterHub, do not get set within the user's JupyterLab session. As you can see they're available in the console, with or without the pipenv, and within python itself via os.getenv().
However in JupyterHub's spawned JupyterLab for my user (me):
This environment variable myname is not available even if I export it in a bash session from within JupyterLab as follows:
Now the documentation says I can customize user environments using a Docker container for each user, but this seems unnecessarily heavyweight. Is there an easier way of doing this?
If not, what is the easiest way to do this via Docker?
...ANSWER
Answered 2022-Jan-20 at 07:39In the jupyterhub_config.py file, you may want to add the environment variables which you need using the c.Spawner.env_keep variable
QUESTION
So I'm building a webapp using FastAPI. I use Celery to run some background tasks. My code works fine on my local development machine, but when I try to dockerize it, it seems the FastAPI app running on a container, can't sync with celery. For instance I have 4 containers:
If I start the webapp locally on my computer, and don't start the padel-checker-web-1 container and only use the other 3, celery on docker syncs with it and works.
My problem is having the webapp running inside docker and using celery, they just don't sync.
I'm pasting my docker-compose.yml to see if someone can point me in the right direction:
...ANSWER
Answered 2021-Nov-09 at 18:24I've fixed my docker-compose.yml, I guess it was the depends_on:
QUESTION
In short
How to install latest version of pip package python-firebase using pipenv when pipenv install python-firebase not working?
Full detail
To have firebase working with python code, as guided officially from firebase homepage here, I use python-firebase library as listed there.
Install it by running pipenv install python-firebase, my code resulted with below error.
ANSWER
Answered 2021-Oct-25 at 08:41According to the doc here from pipenv
pipenv install is fully compatible with pip install syntax
So you could try
QUESTION
I have Dockerfile based on Alpine linux that builds lambda.zip file for AWS Lambda. Here's Dockerfile:
...ANSWER
Answered 2021-Oct-02 at 21:43You are installing some statically compiled dependencies in your Docker environment, like libc-dev, geos-dev, and geos. You have to also include those static dependencies in the Lambda deployment zip file. Also, to include statically compiled dependencies for use in AWS Lambda you have to use the same operating system Lambda uses, which is Amazon Linux, not Alpine Linux.
Luckily there are two alternatives now that make this much easier:
Lambda Layers are Lambda dependencies that can be packaged up in a reusable method, that can also be shared with other developers. In this case someone has already created a shapely Lambda Layer (and someone else here) that you can simply include in your Lambda function instead of trying to package it yourself.
If you still want to build it yourself you could look at that project's source code to see how they are building the layer.
Instead of creating a zip deployment, you could create a Docker image and deploy it to Lambda. You do have to implement a specific interface inside your Lambda container if you go this route, and it is easiest to do this by starting with one of the official AWS Lambda base images.
QUESTION
I'm having issues testing my package with pytest and tox. When attempting to run both I receive ModuleNotFoundError. Pytest does find test_hello.py but fails immediate on trying to import my package for the test.
I am using PyCharm IDE which automatically sets up a pipenv environment for my project. I am using the terminal shell (Powershell instance) within PyCharm to run pytest / tox / pip commands.
I've tried running pytest with and without pip installing my package first: pip install -e . Both yields the same ModuleNotFoundError result.
Traceback
...ANSWER
Answered 2021-Sep-13 at 20:21You don't show us your setup.py, but as you use a src directory structure, you most likely miss the following arguments when calling setup:
QUESTION
Is there a simple or elegant way to uninstall django-rest-swagger on Windows 10? I've recently started developing API's and creating documentation. I found a tutorial that used the django-rest-swagger app. After installing the app and doing more reading, I discovered that it was deprecated, and the developer's GitHub page recommends using drf-yasg.
I tried using "pip uninstall django-rest-swagger," and that echoed back that the app was uninstalled. But, when I went into the virtual environment folder of the project, all the package folders were still there. I also tried "pipenv uninstall django-rest-swagger", but it returned "pipenv is not recognized..." I spent a few hours reading the app docs, and googling "how to remove/ uninstall django-rest-swagger." However, I didn't find anything useful.
Eventually, I gave up, and decided to do it the hard way. I manually deleted all the installed files. Fortunately, I hadn't updated my requirements.txt, so, I knew what was originally installed. While this solution worked, it was somewhat time consuming.
Does django-rest-swagger have an internal uninstall command? And does anyone know why "pip uninstall" didn't remove the app folders?
Thanks
...ANSWER
Answered 2021-Aug-31 at 18:12Just enable your virtualenv probably doing:
QUESTION
I'm trying to deploy my Django Application with AWS beanstalk following this documentation: https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create-deploy-python-django.html
Everything works up till this point:
...ANSWER
Answered 2021-Aug-17 at 00:43You have to install awsebcli to be able to use the eb CLI command.
QUESTION
Pipenv allows the use of the system Python instead of creating a virtualenv to install packages:
...ANSWER
Answered 2021-Jun-23 at 15:44When setting up your pipenv you can specify the version of Python by using: pipenv --python 3.6, to use Python3.6.
Editing the Pipfile also works, by changing:
QUESTION
When I do pipenv install pip=20.3.4 the right pip version is installed. But upon locking, the pip version is not present in pipfile.lock.
Creating a new pipenv from the locked file does not use the required pip version.
Any ideas?
...ANSWER
Answered 2021-Jun-14 at 09:51A workaround we did was to install the right pip version after the pipenv environment is created:
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Install pipenv
You can use pipenv like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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