To begin with, FFFF does not represent 2^16, but rather 2^16 – 1 (it would not be possible for any power of two to be an odd number). Much like the decimal digits represent quantities of increasing powers of 10, hex digits represent quantities of increasing powers of 16 (in each case, the number whose powers we … Read more
Since Python 3.5 this is finally no longer awkward: and reverse: works also with the mutable bytearray type. Reference: https://docs.python.org/3/library/stdtypes.html#bytes.hex
Remember that a JavaScript code unit is 16 bits wide. Therefore the hex string form will be 4 digits per code unit. usage: String to hex form: Back again:
Try: 0 – Left-pads the number with zeroes (0) instead of spaces, where padding is specified. 4 (width) – Minimum number of characters to be printed. If the value to be printed is shorter than this number, the result is right justified within this width by padding on the left with the pad character. By default this … Read more
A slightly simpler solution:
How can I perform a conversion of a binary string to the corresponding hex value in Python? I have 0000 0100 1000 1101 and I want to get 048D I’m using Python 2.6.
Use the format operator %: Note that it won’t check bounds…
Literals that start with 0x are hexadecimal integers. (base 16) The number 0x6400 is 25600. For an example including letters (also used in hexadecimal notation where A = 10, B = 11 … F = 15) The number 0x6BF0 is 27632.
Read up on Two’s complement representation: https://en.wikipedia.org/wiki/Two%27s_complement I think that the easiest way to understand how negative numbers (usually) are treated is to write down a small binary number and then figure out how to do subtraction by one. When you reach 0 and apply that method once again – you’ll see that you suddenly … Read more
Short story: The 0 tells the parser it’s dealing with a constant (and not an identifier/reserved word). Something is still needed to specify the number base: the x is an arbitrary choice. Long story: In the 60’s, the prevalent programming number systems were decimal and octal — mainframes had 12, 24 or 36 bits per byte, which is nicely divisible by 3 = … Read more