Python virtual environment guide
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certainly! a python virtual environment is a self-contained directory that contains a python installation for a particular version of python, plus several additional packages. using virtual environments allows you to manage dependencies for different projects separately.
here's an informative guide on how to create and manage python virtual environments:
why use virtual environments?
1. **dependency management**: different projects may require different versions of packages and libraries.
2. **isolation**: changes in one project’s dependencies won’t affect others.
3. **simplicity**: it allows you to work on multiple projects without conflicts.
prerequisites
make sure you have python installed on your system. you can check it by running:
or
step 1: install `venv`
starting from python 3.3, the `venv` module is included in the standard library, so you don’t need to install it separately. if you have python 3.3 or higher, you can directly use it.
step 2: creating a virtual environment
1. **navigate to your project directory**:
2. **create a virtual environment**:
use the following command to create a virtual environment. replace `myenv` with your desired name for the environment.
or, if you are using python 3:
step 3: activating the virtual environment
activation of the virtual environment varies based on the operating system.
**on windows**:
**on macos and linux**:
once activated, your command prompt will change to show the name of the activated environment.
step 4: installing packages
with the virtual environment activated, you can now install packages. for example, to install `requests`, you would do:
you can also install multiple packages at once:
step 5: listing installed packages
to see what packages are installed in your virtual environment, use:
step 6: deactivating the virtual environment
to deactivate the virtual environment and return to the system python:
...
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