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Security Automation with Python
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Setting up Python in a virtual environment is a best practice that offers several significant advantages, particularly when working on multiple projects or using various libraries and dependencies. The following subsections explain why setting up Python in a virtual environment is important.
A virtual environment creates an isolated space where project-specific libraries and dependencies are installed. This ensures that dependencies for one project do not conflict with those of another. Without a virtual environment, installing packages globally can lead to version conflicts, especially when different projects require different versions of the same package.
For example, Project A might require Django 3.1, while Project B requires Django 2.2. Without a virtual environment, managing both versions simultaneously would be difficult.
What is Django?
Django is a high-level web framework for building web...