python virtual environment in linux смотреть онлайн

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python virtual environments are a crucial tool for managing dependencies and isolating project environments. they allow you to create isolated python environments for different projects, preventing conflicts between dependencies. in this tutorial, we'll explore how to create and manage python virtual environments in a linux environment.
before we start, make sure you have python and virtualenv installed on your linux system. if not, you can install them using the following commands:
let's create a virtual environment for a hypothetical project named "my_project."
this command creates a directory named venv containing a standalone python environment.
once the virtual environment is created, you need to activate it before working on your project:
your terminal prompt should now change to indicate that the virtual environment is active. for example:
with the virtual environment activated, you can use pip to install python packages specific to your project:
this installs the package only within the virtual environment, avoiding conflicts with the system-wide python installation.
when you're done working on your project, deactivate the virtual environment:
your terminal prompt will return to the global environment.
you can create a requirements.txt file to list all the dependencies for your project. this makes it easy to recreate the virtual environment on another machine or share your project with others. to generate a requirements.txt file:
to install dependencies from a requirements.txt file:
python virtual environments are an essential tool for managing project dependencies. they help keep your projects isolated and prevent conflicts. by following this tutorial, you should be comfortable creating, activating, deactivating, and managing python virtual environments on your linux system.
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