PyCharm Concepts: Difference between revisions
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=Internal= | =Internal= | ||
* [[PyCharm#Subjects|PyCharm]] | * [[PyCharm#Subjects|PyCharm]] | ||
=Overview= | |||
=Python Interpreter= | =Python Interpreter= | ||
{{External|https://www.jetbrains.com/help/pycharm/configuring-python-interpreter.html}} | {{External|https://www.jetbrains.com/help/pycharm/configuring-python-interpreter.html}} | ||
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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]]. | |||
==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}} | ||
<code>virtualenv</code> is a tool to create isolated Python environments. <code>virtualenv</code> is bundled in PyCharm, which uses it to create a project-specific virtual environment. For Python 3.3+, the built-in <code>venv</code> [[Python_Language#Module|module]] is used, instead of <code>virtualenv</code> | |||
==Pipenv== | |||
{{External|https://www.jetbrains.com/help/pycharm/pipenv.html}} | |||
Pipenv is another tool that provides all necessary means to create a virtual environment for a Python project. It automatically manages project packages through the <code>Pipfile</code> file as you install or uninstall packages. | |||
==Poetry== | |||
{{External|https://www.jetbrains.com/help/pycharm/poetry.html}} | |||
{{External|https://python-poetry.org}} | |||
Poetry is a tool that facilitates creating a Python virtual environment based on the project dependencies. You can declare the libraries your project depends on, and Poetry will install and update them for you. | |||
== | ==Conda== | ||
{{External|https://www.jetbrains.com/help/pycharm/conda-support-creating-conda-virtual-environment.html}} | |||
{{Internal|Conda|Conda}} | |||
Latest revision as of 00:51, 18 February 2022
Internal
Overview
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
Pipenv
Pipenv is another tool that provides all necessary means to create a virtual environment for a Python project. It automatically manages project packages through the Pipfile file as you install or uninstall packages.
Poetry
Poetry is a tool that facilitates creating a Python virtual environment based on the project dependencies. You can declare the libraries your project depends on, and Poetry will install and update them for you.