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  1. Jun 17, 2011 · 26. If you are referring to some code in a python notebook which is using Numpy library, then @ operator means Matrix Multiplication. For example: import numpy as np def forward (xi, W1, b1, W2, b2): z1 = W1 @ xi + b1 a1 = sigma (z1) z2 = W2 @ a1 + b2 return z2, a1. answered Nov 7, 2018 at 6:08.

  2. Dec 14, 2021 · 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. Jan 17, 2013 · As other answers have stated, the -> symbol is used as part of function annotations. In more recent versions of Python >= 3.5 , though, it has a defined meaning. PEP 3107 -- Function Annotations described the specification, defining the grammar changes, the existence of func.__annotations__ in which they are stored and, the fact that it's use case is still open.

  4. Apr 25, 2017 · The percentage sign is an operator in Python. It's described as: x % y remainder of x / y. So it gives you the remainder/rest that remains if you "floor divide" x by y. Generally (at least in Python) given a number x and a divisor y: x == y * (x // y) + (x % y) For example if you divide 5 by 2: >>> 5 // 2. 2.

  5. Dec 31, 2009 · In Python, the '|' operator is defined by default on integer types and set types. If the two operands are integers, then it will perform a bitwise or, which is a mathematical operation. If the two operands are set types, the '|' operator will return the union of two sets. Additionally, authors may define operator behavior for custom types, so ...

  6. Mar 21, 2023 · 124. This symbol := is an assignment operator in Python (mostly called as the Walrus Operator). In a nutshell, the walrus operator compresses our code to make it a little shorter. Here's a very simple example: # without walrus. n = 30. if n > 10: print(f"{n} is greater than 10") # with walrus.

  7. Jun 16, 2012 · There's the != (not equal) operator that returns True when two values differ, though be careful with the types because "1" != 1. This will always return True and "1" == 1 will always return False, since the types differ. Python is dynamically, but strongly typed, and other statically typed languages would complain about comparing different types.

  8. From the Python 3 docs: The power operator has the same semantics as the built-in pow () function, when called with two arguments: it yields its left argument raised to the power of its right argument. The numeric arguments are first converted to a common type, and the result is of that type. It is equivalent to 2 16 = 65536, or pow(2, 16) Just ...

  9. In Python 2.2 or later in the 2.x line, there is no difference for integers unless you perform a from __future__ import division, which causes Python 2.x to adopt the 3.x behavior. Regardless of the future import, 5.0 // 2 will return 2.0 since that's the floor division result of the operation.

  10. Jan 12, 2022 · 1. The ** operator will, internally, use an iterative function (same semantics as built-in pow() (Python docs), which likely means it just calls that function anyway). Therefore, if you know the power and can hardcode it, using 2*2*2 would likely be a little faster than 2**3. This has a little to do with the function, but I believe the main ...