The venv module provides support for creating lightweight “virtual environments” with their own site directories, optionally isolated from system site directories. Each virtual environment has its own Python binary (which matches the version of the binary that was used to create this environment) and can have its own independent set of installed Python packages in its site directories.,The high-level method described above makes use of a simple API which provides mechanisms for third-party virtual environment creators to customize environment creation according to their needs, the EnvBuilder class.,Installs activation scripts appropriate to the platform into the virtual environment.,In addition, EnvBuilder provides this utility method that can be called from setup_scripts() or post_setup() in subclasses to assist in installing custom scripts into the virtual environment.
python3 - m venv / path / to / new / virtual / environmentc: \ > c: \Python35\ python - m venv c: \path\ to\ myenv
c: \ > python - m venv c: \path\ to\ myenv
usage: venv[-h][--system - site - packages][--symlinks | --copies][--clear]
[--upgrade][--without - pip][--prompt PROMPT][--upgrade - deps]
ENV_DIR[ENV_DIR...]
Creates virtual Python environments in one or more target directories.
positional arguments:
ENV_DIR A directory to create the environment in .
optional arguments:
-h, --help show this help message and exit
--system - site - packages
Give the virtual environment access to the system
site - packages dir.
--symlinks Try to use symlinks rather than copies, when symlinks
are not the
default
for the platform.
--copies Try to use copies rather than symlinks, even when
symlinks are the
default
for the platform.
--clear Delete the contents of the environment directory
if it
already exists, before environment creation.
--upgrade Upgrade the environment directory to use this version of Python, assuming Python has been upgraded in -place.
--without - pip Skips installing or upgrading pip in the virtual
environment(pip is bootstrapped by
default)
--prompt PROMPT Provides an alternative prompt prefix
for this
environment.
--upgrade - deps Upgrade core dependencies: pip setuptools to the
latest version in PyPI
Once an environment has been created, you may wish to activate it, e.g.by
sourcing an activate script in its bin directory.def create(self, env_dir): "" " Create a virtualized Python environment in a directory. env_dir is the target directory to create an environment in . "" " env_dir = os.path.abspath(env_dir) context = self.ensure_directories(env_dir) self.create_configuration(context) self.setup_python(context) self.setup_scripts(context) self.post_setup(context)
python3 - m pip install--user--upgrade pip
python3 - m pip--versionpip 21.1 .3 from $HOME / .local / lib / python3 .9 / site - packages(python 3.9)py - m pip install--upgrade pip
py - m pip--versionpip 21.1 .3 from c: \python39\ lib\ site - packages(Python 3.9 .4)python3 - m pip install--user virtualenvpy - m pip install--user virtualenvvirtualenv is a tool to create isolated Python environments. virtualenv creates a folder which contains all the necessary executables to use the packages that a Python project would need.,virtualenv venv will create a folder in the current directory which will contain the Python executable files, and a copy of the pip library which you can use to install other packages. The name of the virtual environment (in this case, it was venv) can be anything; omitting the name will place the files in the current directory instead.,In order to keep your environment consistent, it’s a good idea to “freeze” the current state of the environment packages. To do this, run:,virtualenvwrapper provides a set of commands which makes working with virtual environments much more pleasant. It also places all your virtual environments in one place.
$ python--version
>>> python
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'python' is not defined$ pip--version
$ pip install--user pipenv
$ cd project_folder $ pipenv install requests
Creating a Pipfile for this project... Creating a virtualenv for this project... Using base prefix '/usr/local/Cellar/python3/3.6.2/Frameworks/Python.framework/Versions/3.6' New python executable in ~/.local/share / virtualenvs / tmp - agwWamBd / bin / python3 .6 Also creating executable in ~/.local/share / virtualenvs / tmp - agwWamBd / bin / python Installing setuptools, pip, wheel...done. Virtualenv location: ~/.local/share / virtualenvs / tmp - agwWamBd Installing requests... Collecting requests Using cached requests - 2.18 .4 - py2.py3 - none - any.whl Collecting idna < 2.7, >= 2.5(from requests) Using cached idna - 2.6 - py2.py3 - none - any.whl Collecting urllib3 < 1.23, >= 1.21 .1(from requests) Using cached urllib3 - 1.22 - py2.py3 - none - any.whl Collecting chardet < 3.1 .0, >= 3.0 .2(from requests) Using cached chardet - 3.0 .4 - py2.py3 - none - any.whl Collecting certifi >= 2017.4 .17(from requests) Using cached certifi - 2017.7 .27 .1 - py2.py3 - none - any.whl Installing collected packages: idna, urllib3, chardet, certifi, requests Successfully installed certifi - 2017.7 .27 .1 chardet - 3.0 .4 idna - 2.6 requests - 2.18 .4 urllib3 - 1.22 Adding requests to Pipfile 's [packages]... P.S.You have excellent taste!✨🍰✨
virtualenv.exe will likely now be found in your python installation directory under the Scripts subdirectory.,cd to your project directory and run virtualenv to create the new virtual environment.,If Windows cannot find virtualenv.exe, see Install virtualenv. You can either add the executable’s home directory to your PATH variable, or just include the full path in your command line. If you aren’t sure where python.exe is installed, see Where’s My Python?.,virtualenv is a tool to create isolated Python environments. You can read more about it in the Virtualenv documentation. This article provides a quick summary to help you set up and use a virtual environment.
C: \Users\ % username % \AppData\ Local\ Programs\ Python\ Python36\ python.exe
C: \Users\ % username % \AppData\ Local\ Programs\ Python\ Python36 - 32\ python.exe
pip install virtualenv
cd my - project
virtualenv--python C: \Path\ To\ Python\ python.exe venv.\venv\ Scripts\ activate
pip freeze > requirements.txt
If set to true, the virtualenv wil be created and expected in a folder named .venv within the root directory of the project.,If not set explicitly (default), poetry will use the virtualenv from the .venv directory when one is available. If set to false, poetry will ignore any existing .venv directory.,Create the virtualenv inside the project’s root directory. Defaults to None.,Directory where virtual environments will be created. Defaults to {cache-dir}/virtualenvs ({cache-dir}\virtualenvs on Windows).
poetry config virtualenvs.create false--localpoetry config--listcache - dir = "/path/to/cache/directory"
virtualenvs.create = true
virtualenvs.in - project = null
virtualenvs.path = "{cache-dir}/virtualenvs"
# / path / to / cache / directory / virtualenvspoetry config virtualenvs.path
poetry config virtualenvs.path / path / to / cache / directory / virtualenvspoetry config virtualenvs.path--unset
Virtual environments are turned on by "activating" them via an activate script. The script is located in the bin folder.,It is generally considered best practice to use virtual environments whenever working on any Python based project. Because of this it is common to practice to create the environment as part of the initial checkout of the sources and configuration.,virtualenvwrapper is a set of extensions to the virtualenv tool. The extensions include wrappers for creating and deleting virtual environment, managing your development workflow, and providing hooks to setup or tear down parts of the environment on entry or exit.,In the Python ecosystem, these isolated (or sandboxed) environments are called "virtual environments." In this post, we'll introduce two tools that can be used to create and manage virtual environments: virtualenv and virtualenvwrapper.
# Create the project directory $ mkdir myproject # Go into the project 's folder $ cd myproject # Create a virtualenv named "env" $ virtualenv env # Activate the environment using source $ source env / bin / activate # Install project dependencies using a requirements file $ pip install - r requirements.txt
# Create a new virtual environment using Python 3 $ virtualenv--python = python3 path / to / env
# Virtual Environments use paths to provide preference # for executables inside of an environment over system # installed programs.The routine below shows how # Python is re - mapped $ which python # Output: /usr/bin / python # Activate a virtual environment $ cd~/myproject $ source~/myproject/env / bin / activate # Check the active version of Python(env) $ which python # Output / home / myuser / myproject / bin / python
#1 update package list $ sudo apt-get update # 2 Install pip for Python $ sudo apt - get install python - pip #3 Verify the installation by checking the pip version: $ pip --version # 4 Install virtualenv $ sudo pip install virtualenv #5 Create a dir to store your virtualenvs $ mkdir ~/.virtualenvs
#1 Install virtualenvwrapper using pip $ sudo pip install virtualenvwrapper # 2 Set WORKON_HOME to your virtualenv directory. # WORKON_HOME is the directory in which environments # will be created by default ( if using the mkvirtualenv) # command provided by virtualenvwrapper $ export WORKON_HOME = ~/.virtualenvs
#1 Open ~/.bashrc with your text editor. $ vi ~/.bashrc # 2 At the end of the file, add the following line: source / usr / local / bin / virtualenvwrapper.sh #3 Save and close the file.