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numpy.frombuffer(), which could be used for the same purpose.structpackage: 1. The returned values fromstructfunctions are "a tuple even if it contains exactly one item", solist.extend()might be better than append to avoid nested data 2. "Creating a Struct object once and calling its methods is more efficient than calling the struct functions with the same format since the format string only needs to be compiled once." Since we're repeating this call for a (large?) file, seems like a good optimization. 3. Also,Structobjects expose asizeproperty, which is simpler than 32 // 8array.frombuffer()which I forgot ornumpy.frombuffer()which I didn't know previously, either of which should completely avoid creating objects for every sample.array.frombuffer()unfortunately only uses the native endianness of the current machine. I suppose you could fix this at ffmpeg-time to match your own. stackoverflow.com/a/23320951/235992 Numpy types (docs.scipy.org/doc/numpy/user/basics.types.html) also seem to lack specification of endianness, however you could do something like docs.scipy.org/doc/numpy/user/…if sys.byteorder != "big": arr.byteswap(), which is a bit more annoying than having the module take care of it, but ultimately performs the same thing. (Hopefully.)