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python Programming Glossary: exponentHow do you get the next value in the floating-point sequence? http://stackoverflow.com/questions/10420848/how-do-you-get-the-next-value-in-the-floating-point-sequence works for any number in the range 0 infinity right across exponent boundaries and subnormals. To produce a version of nextUp that..
Print number in engineering format http://stackoverflow.com/questions/12311148/print-number-in-engineering-format after that is if self._exp 0 and leftdigits 6 # no exponent required dotplace leftdigits elif not eng # usual scientific.. 1 3 1 and you can see that unless it already has an exponent in a certain range self._exp 0 or leftdigits 6 none will be.. a number to a string using scientific notation if an exponent is needed. The operation is not affected by the context. If..
Calculating logarithm, why is this algorithm not efficient, and how to make it more efficient? http://stackoverflow.com/questions/13205078/calculating-logarithm-why-is-this-algorithm-not-efficient-and-how-to-make-it-m x return exp else raise ValueError can't find a suitable exponent In 10 myLog 16 2 Out 10 4 Hope this helps share improve this..
Why is x**3 slower than x*x*x? [duplicate] http://stackoverflow.com/questions/18453771/why-is-x3-slower-than-xxx As per this answer it's because the implementation of exponentiation has some overhead that multiplication does not. However.. naive multiplication will get slower and slower as the exponent increases. An empirical demonstration In 3 x np.random.rand.. x x x x x x x x 1 loops best of 3 212 ms per loop Note the exponentiation time stays more or less constant except for the x 2 case..
http://stackoverflow.com/questions/2125076/unit-conversion-in-python the molecular scale. Using SI units internally can lead to exponent overflow in commonly used molecular force calculations. Internally..
Finding the exponent of n = 2**x using bitwise operations [logarithm in base 2 of n] http://stackoverflow.com/questions/2255177/finding-the-exponent-of-n-2x-using-bitwise-operations-logarithm-in-base-2-o the exponent of n 2 x using bitwise operations logarithm in base 2 of n .. 2 of n Is there a straightforward way to extracting the exponent from a power of 2 using bitwise operations only EDIT Although..
I have a Python list of the prime factors of a number. How do I (pythonically) find all the factors? http://stackoverflow.com/questions/3643725/i-have-a-python-list-of-the-prime-factors-of-a-number-how-do-i-pythonically-f it is no longer an integer factor to find the maximum exponents for each prime. Then I will multiply every possible combination.. Then I will multiply every possible combination of prime exponent pairs. So for example for 180 Given prime factors of 180 2 3.. for 180 Given prime factors of 180 2 3 5 Find maximum exponent of each factor 180 2^1 90 180 2^2 45 180 2^3 22.5 not an integer..
matplotlib: format axis offset-values to whole numbers or specific number http://stackoverflow.com/questions/3677368/matplotlib-format-axis-offset-values-to-whole-numbers-or-specific-number constant in the y label EDIT Another option is to fake the exponent multiplier by manually adding its text to the top of the plot..
How do you verify an RSA SHA1 signature in Python? http://stackoverflow.com/questions/544433/how-do-you-verify-an-rsa-sha1-signature-in-python time you will get 0203010001 which signifies a RSA public exponent of 0x10001 65537. You can use those two values as n and e in..
Encrypting a file with RSA in Python http://stackoverflow.com/questions/6309958/encrypting-a-file-with-rsa-in-python from using RSA unprotected. In particular if the public exponent is very small not the case here as PyCrypto uses 65537 or you.. that the encryption operation actually performs a modular exponentiation. The padding I propose ensures that by making the highest..
numpy arbitrary precision linear algebra http://stackoverflow.com/questions/6876377/numpy-arbitrary-precision-linear-algebra . I want to find the eigenvalues of the element wise exponent of it. The problem is that some of the values are quite negative.. of the values are quite negative 800 1000 etc and their exponents underflow meaning they are so close to zero so that numpy treats..
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