Dominic Bou-Samra Dominic Bou-Samra - 1 year ago 119
Python Question

What do backticks mean to the python interpreter: `num`

I'm playing around with list comprehensions and I came across this little snippet on another site:

return ''.join([`num` for num in xrange(loop_count)])

I spent a few minutes trying to replicate the function (by typing) before realising the
bit was breaking it.

What does enclosing a statement in those characters do? From what I can see it is the equivalent of str(num). But when I timed it:

return ''.join([str(num) for num in xrange(10000000)])

It takes 4.09s whereas:

return ''.join([`num` for num in xrange(10000000)])

takes 2.43s.

Both give identical results but one is a lot slower. What is going on here?

EDIT: Oddly...
gives slightly slower results than
. 2.99s vs 2.43s. Using Python 2.6 (haven't tried 3.0 yet).

Answer Source

Backticks are a deprecated alias for repr(). Don't use them any more, the syntax was removed in Python 3.0.

Using backticks seems to be faster than using repr(num) or num.__repr__() in version 2.x. I guess it's because additional dictionary lookup is required in the global namespace (for repr), or in the object's namespace (for __repr__), respectively.

Using the dis module proves my assumption:

def f1(a):
    return repr(a)

def f2(a):
    return a.__repr__()

def f3(a):
    return `a`

Disassembling shows:

>>> import dis
>>> dis.dis(f1)
  3           0 LOAD_GLOBAL              0 (repr)
              3 LOAD_FAST                0 (a)
              6 CALL_FUNCTION            1
              9 RETURN_VALUE
>>> dis.dis(f2)
  6           0 LOAD_FAST                0 (a)
              3 LOAD_ATTR                0 (__repr__)
              6 CALL_FUNCTION            0
              9 RETURN_VALUE        
>>> dis.dis(f3)
  9           0 LOAD_FAST                0 (a)
              3 UNARY_CONVERT       
              4 RETURN_VALUE   

f1 involves a global lookup for repr, f2 an attribute lookup for __repr__, whereas the backtick operator is implemented in a separate opcode. Since there is no overhead for dictionary lookup (LOAD_GLOBAL/LOAD_ATTR) nor for function calls (CALL_FUNCTION), backticks are faster.

I guess that the Python folks decided that having a separate low-level operation for repr() is not worth it, and having both repr() and backticks violates the principle

"There should be one-- and preferably only one --obvious way to do it"

so the feature was removed in Python 3.0.

Recommended from our users: Dynamic Network Monitoring from WhatsUp Gold from IPSwitch. Free Download