What are the differences between Jupyter and Anaconda?
Jupyter is an open-source web application for creating and sharing documents with live code, while Anaconda is a distribution that includes Jupyter along with many other tools and libraries for data science.
Can I use Jupyter without Anaconda?
Yes, you can install Jupyter independently using pip, but Anaconda simplifies the installation of Jupyter and its dependencies.
Which one should I choose for data science projects?
If you're starting out, Anaconda is a great choice as it comes with many pre-installed packages. Jupyter is excellent for interactive coding.
Are there any performance differences between them?
Performance-wise, Jupyter runs on top of Python, so it depends on the environment. Anaconda can optimize package management, which may improve performance.
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