Numpy scalar types cheat-sheet (x86-64)

Saving this as note-to-self; The Numpy documentation is thorough but unfriendly for rapid scanning. Here's a cheat-sheet for Linux x86-64.

• (BHIL) bhil : (u)int-8,16,32,64
• efdg : float-16,32,64,80
• FDG : complex 2×(32,64,80)
• ? : Boolean
• S# / U# : Length-# byte/Unicode strings
• On Intel x86-64 the signed/unsigned pointer-length types intp p / uintp P are int64 / uint64 , as are longlong q / ulonglong Q .
• All types are little-endian < by default (prefix > to specify big-endian)
• Types can be suffixed by an integer to specify vector-types