In Python data visualization, how do I manage dependencies?

In Python data visualization, managing dependencies is crucial to ensure that your data visualization projects run smoothly and efficiently. This often involves using package management tools like `pip` and virtual environments to keep your libraries organized and up-to-date.

Utilizing version control for libraries and maintaining a requirements file can also help manage dependencies effectively.


Python Data Visualization Dependency Management Virtual Environments pip Requirements File

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