What are the differences between Conda and Virtualenv?
Conda is a package manager that can manage environments and packages, while Virtualenv is specifically for creating isolated Python environments.
Can I use Conda to manage Python packages?
Yes, Conda can manage Python packages as well as packages from other languages, making it more versatile than Virtualenv.
Which one is better for data science projects?
Conda is often preferred for data science because it simplifies package management and handles dependencies more effectively.
Are there any performance differences between them?
Performance can vary based on the specific packages and environments, but generally, both tools are efficient for their purposes.
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