PyCharm Concepts: Difference between revisions
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=Virtual Environment= | =Virtual Environment= | ||
A virtual environment consists of a base interpreter and installed packages. It manages settings and dependencies of a particular project, regardless of other Python projects. Several types of virtual environments are available: [[#Virtualenv| Virtualenv]], [[#Pipenv|Pipenv]], [[#Poetry|Poetry]] and [[#Conda|Conda]]. | A virtual environment consists of a base interpreter and installed packages. It manages settings and dependencies of a particular project, regardless of other Python projects. Several types of virtual environments are available: [[#Virtualenv| Virtualenv]], [[#Pipenv|Pipenv]], [[#Poetry|Poetry]] and [[#Conda|Conda]]. | ||
==Virtualenv== | ==Virtualenv== | ||
{{External|https://www.jetbrains.com/help/pycharm/creating-virtual-environment.html}} | |||
{{External|https://virtualenv.pypa.io/en/latest/index.html}} | {{External|https://virtualenv.pypa.io/en/latest/index.html}} | ||
Revision as of 04:15, 22 December 2021
Internal
Python Interpreter
PyCharm needs at least one Python interpreter. It can be chosen from the system interpreter
System Interpreter
A system interpreter is the interpreter that comes with the Python installation on the system. The system interpreter can be used solely for all Python scripts or as a base interpreter for the Python virtual environments.
Virtual Environment
A virtual environment consists of a base interpreter and installed packages. It manages settings and dependencies of a particular project, regardless of other Python projects. Several types of virtual environments are available: Virtualenv, Pipenv, Poetry and Conda.
Virtualenv
virtualenv is a tool to create isolated Python environments. virtualenv is bundled in PyCharm, which uses it to create a project-specific virtual environment. For Python 3.3+, the built-in venv module is used, instead of virtualenv