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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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The patterns differ between the language used and what type of program it is. Eg. a web application an end user will interact with through an interface directly will have a different project structure than a library like pandas which is designed to be called from other code (no GUI or CLI).
There are also hybrids which are a mix of both. For example, youtube-dl can be used as a command line program, but it's also designed to be convenient to use inside other python programs to make use of its functionalities.
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