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Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.
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Civic Auth
Simple auth for Python backends. Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.
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conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
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Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
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Whenever you are working on a Python project that has external dependencies installed with pip, it is strongly recommended to first create a virtual environment.