What is the difference between Python extensions and libraries?
Python extensions are modules written in C or C++ that enhance performance, while libraries are collections of reusable code.
Can you give me examples of popular Python libraries?
Sure! Some popular Python libraries include NumPy for numerical computations, Pandas for data manipulation, and Matplotlib for plotting.
Are Python extensions necessary for all projects?
Not necessarily. Extensions are useful for performance-critical applications, but many projects can be built using libraries alone.
How do I create a Python extension?
To create a Python extension, you'll need to write C or C++ code, compile it, and then use Python's API to integrate it.
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