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KEYMACRO is a utility that helps Windows users to generate long series of keys.Q: Python – Limit number of decimals in integer for speed I want to calculate some values and I know I can do it much faster if I can use integers rather than floats. So here’s my question: I know Python doesn’t have any constant in place for precision, but is there a way to make it so when I add a number like this: x = 0.1 * 10 …I won’t have to add a decimal as many times? It’s a lot easier to type when you don’t have to add another.0 every time you do the math. Thanks for your help! A: Try to use the float as a fixed point number. >>> x = 0.1 >>> x.quantize(0.1) 0.1000000000000000055511151231257827021181583404541015625 You can use this in your code, and calculate many floats in the same way without increasing overhead. >>> import timeit >>> import math >>> timeit.timeit(“math.pi * 10**3”, “import math; a=0.1*10**3”) 0.00070874867719980399 >>> timeit.timeit(“math.pi * 10**3”, “import math; a=float(0.1) * 10**3”) 0.00299550569989590598 >>> timeit.timeit(“math.pi * 10**3”, “import math; a=0.1 * 10**3”) 0.0030807219300638065 >>> timeit.timeit(“math.pi * 10**3”, “import math; a=float(0.1) * 10**3”) 0.00274577487728059508 >>> timeit.timeit(“math.pi * 10**3”, “import math; a=0.1 * 10**3”) 0.00284186210635391784 >>> timeit.timeit(“math.pi * 10**3”, “import math; a=0.1 * 10**3”) 0.00281890723510402316 Q: How do I solve that nested array? 70238732e0 new kids nitro racer free download pc
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