If POETRY_HOME is set, it will be given higher priority. One could create a symlink called .venv that point to any other location where the real files are located. Heres why I fell in love with Poetry at first sight. This blog post is mostly aimed at people who didn't work with it. Thus when they set up dependencies, its always in sync with others. @TheGreatRefrigerator Could you test if the master branch fixes the issue? What is the symbol (which looks similar to an equals sign) called? for more information. This means that it's not an isolated environment: it's probably shared with the development environment. This represents most cases and will likely be enough for most users. Currently, when you use poetry install inside a tox environment, it uses the virtualenv that poetry "owns" for that python interpreter. There is a separate project that contains a collection of plugins. poetry already creates and names venvs, why would this qualify as obtrusive? They have no purpose in a production server. If youre unsure what to call the directory: venv is a commonly seen option; it doesnt leave anyone guessing what it is. Poetry, for its Give it a try, I assure you that youll like it! Connect and share knowledge within a single location that is structured and easy to search. This ticket here is closed for a long time. but this task does not stand in the way of them getting started. The number_of_cores is determined by os.cpu_count(). If Poetry detects its running within an activated virtual environment, it will never create a new virtual environment, The path to the cache directory used by Poetry. This makes sense. running python from anywhere else than in $POETRY_HOME/venv/lib/python3.8/site-packages/ If a user runs poetry run pip when this option is set to true, the pip the Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey. Would Poetry maintainers be open to adding a similar config such as virtualenvs.ignore-conda-env to Poetry? Now, python-eda is available for installation through pip. I believe that we should be able to force Poetry to create a virtual environment anyway: the Conda environment is more "physical" than virtual in this case, as it replaces the system Python. to use environment variables and not have to execute configuration commands. Different projects should have different environments to avoid any conflicts when (de)installing/updating/downgrading a package for one projects. I am very curious to hear how you did that with 1.2.2. For people still wondering about use cases. Looks like most use cases for this (particularly docker) are covered by #108. Advance your productivity as a Python programmer! the number of maximum workers is still limited at number_of_cores + 4. After all, you only need to install it once and can use the package from multiple Python projects, saving you precious time and disk space. Python Fundamentals II covers creating modules and packages, using virtual environments and Python package managers to make your life as a programmer easier. Create a Poetry-managed Python project. These dependencies are required to run the software in this project. This configuration can be set to false, if TLS certificate verification should be skipped for this @cpbotha appending to a closed ticket is a good way of not getting help. Inside a docker container you can also prevent poetry from creating virtual environments: this will be local to the docker container. Create the virtualenv inside the projects root directory. @jagretti, you should be able to do something like this Or if that doesn't work for some reason, you can try something like: @jagretti, you should be able to do something like this After that, I strongly recommend you to learn about Pipenv or Poetry. If you need a predictable PYTHONPATH for your Dockerfile, strikes me the return value of EnvManager.generate_env_name is stable for any combination of name and cwd. It fulfills my long craving for an npm-like package manager for Python.