How do I package data files inside wheels?

Packaging data files inside Python wheels allows you to distribute your project's assets alongside the code, ensuring they are accessible when the wheel is installed. This process generally involves specifying the data files in the `setup.py` script using the `package_data` or `data_files` parameter. The wheel format, being a binary distribution, effectively packages these resources, making it easier to share your application without losing essential files.


Packaging Data Files Python Wheels Setup.py Distribution Python

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?