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  2. For example, in some languages the ^ symbol means exponentiation. You could do that this way, just as one example: class Foo(float): def __xor__(self, other): return self ** other. Then something like this will work, and now, for instances of Foo only, the ^ symbol will mean exponentiation.

  3. 32. There's the !=(not equal) operator that returns Truewhen two values differ, though be careful with the types because "1" != 1. This will always return True and "1" == 1will always return False, since the types differ. Python is dynamically, but strongly typed, and other statically typed languages would complain about comparing different types.

  4. There is no bitwise negation in Python (just the bitwise inverse operator ~ - but that is not equivalent to not). See also 6.6. Unary arithmetic and bitwise/binary operations and 6.7. Binary arithmetic operations. The logical operators (like in many other languages) have the advantage that these are short-circuited.

  5. In Python this is simply =. To translate this pseudocode into Python you would need to know the data structures being referenced, and a bit more of the algorithm implementation. Some notes about psuedocode: :=is the assignment operator or =in Python. =is the equality operator or ==in Python.

  6. Functions, in Python, are first class objects - which means you can pass a function as an argument to another function, and return functions. Decorators do both of these things. If we stack decorators, the function, as defined, gets passed first to the decorator immediately above it, then the next, and so on.

  7. A Python dict, semantically used for keyword argument passing, is arbitrarily ordered. However, in Python 3.6+, keyword arguments are guaranteed to remember insertion order. "The order of elements in **kwargs now corresponds to the order in which keyword arguments were passed to the function." - What’s New In Python 3.6. In fact, all dicts in ...

  8. It's an operator in Python that can mean several things depending on the context. A lot of what follows was already mentioned (or hinted at) in the other answers but I thought it could be helpful to provide a more extensive summary. % for Numbers: Modulo operation / Remainder / Rest. The percentage sign is an operator in Python. It's described as:

  9. Difference between Python built-in pow and math pow for large integers. 1. Java Math.exp() and Python math ...

  10. Python 2.4 adds the command line switch -m to allow modules to be located using the Python module namespace for execution as scripts. The motivating examples were standard library modules such as pdb and profile, and the Python 2.4 implementation is fine for this limited purpose. So you can specify any module in Python's search path this way ...

  11. Step 2 below illustrate the usage of that "double colons" ::in question. (Caution: this is a NumPy array specific example with the aim of illustrating the a use case of "double colons" ::for jumping of elements in multiple axes. This example does not cover native Python data structures like List). One concrete example to rule them all...