Question 1

How do I create and activate a virtualenv?

Accepted Answer

Install virtualenv via pip (pip install virtualenv), then run 'virtualenv myenv' to create an environment. Activate it with 'source myenv/bin/activate' on Unix or 'myenv\Scripts\activate' on Windows, which modifies your shell's PATH to use the isolated Python.

Question 2

What's the difference between virtualenv and venv?

Accepted Answer

virtualenv is a third-party tool that works with Python 2 and 3, offering more customization and backward compatibility. venv is a built-in module from Python 3.3+, lighter but with fewer features; virtualenv is often preferred for legacy support or advanced use cases.

Question 3

Can I use virtualenv with conda environments?

Accepted Answer

Yes, but it's not recommended as conda manages its own isolated environments. virtualenv is designed for pip-based Python packages, while conda handles cross-language dependencies; mixing them can lead to conflicts and complexity.

Question 4

How to delete a virtual environment?

Accepted Answer

Simply delete the environment directory (e.g., rm -rf myenv on Unix). virtualenv doesn't have a built-in removal command, so manual deletion ensures all files are cleaned up, but be cautious to avoid deleting project code.

Question 5

Does virtualenv work with Python 2?

Accepted Answer

Yes, virtualenv supports Python 2.7 and above, making it useful for maintaining legacy projects. However, since Python 2 is end-of-life, it's best to migrate to Python 3 with venv or updated virtualenv versions.

Question 6

Best practices for virtualenv in production?

Accepted Answer

Use virtualenv to isolate dependencies in production, but combine it with requirements.txt files for reproducibility. Avoid activating environments in scripts; instead, call the environment's Python interpreter directly for reliability in deployments.

virtualenv

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