What is the computer science definition of entropy?

Entropy can mean different things: Computing In computing, entropy is the randomness collected by an operating system or application for use in cryptography or other uses that require random data. This randomness is often collected from hardware sources, either pre-existing ones such as mouse movements or specially provided randomness generators. Information theory In information theory, … Read more

Fastest way to compute entropy in Python

@Sanjeet Gupta answer is good but could be condensed. This question is specifically asking about the “Fastest” way but I only see times on one answer so I’ll post a comparison of using scipy and numpy to the original poster’s entropy2 answer with slight alterations. Four different approaches: (1) scipy/numpy, (2) numpy/math, (3) pandas/numpy, (4) … Read more

How to calculate the entropy of a file?

At the end: Calculate the “average” value for the array. Initialize a counter with zero, and for each of the array’s entries: add the entry’s difference to “average” to the counter. With some modifications you can get Shannon’s entropy: rename “average” to “entropy” (float) entropy = 0 for i in the array[256]:Counts do (float)p = … Read more

How to generate random SHA1 hash to use as ID in node.js?

243,583,606,221,817,150,598,111,409x more entropy I’d recommend using crypto.randomBytes. It’s not sha1, but for id purposes, it’s quicker, and just as “random”. var id = crypto.randomBytes(20).toString(‘hex’); //=> f26d60305dae929ef8640a75e70dd78ab809cfe9 The resulting string will be twice as long as the random bytes you generate; each byte encoded to hex is 2 characters. 20 bytes will be 40 characters of … Read more

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