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The problem with converting to decimal format is that most arbitrary-precision libraries store values in binary.Added:, views: 155, downloads: 52, click image to zoom.The DecInt library was specifically designed to work with very large integers that needed to be converted to decimal format.More then 30 000 fonts on t!Download Sui Generis font, similar fonts: Comments.I'm the author of the DecInt (Decimal Integer) library so I'll make a few comments.Even though DecInt has much higher overhead, the combination of O(n*ln(n) multiplication and O(n) conversion will eventually be faster than Python's O(n1.585) multiplication and O(n2) conversion.Download free fonts, script fonts, serif fonts, cool fonts, sans fonts.I'm glad you found DecInt helpful.Converting a very large number to decimal format now runs in O(n).Naive, or grade school, multiplication has a running time of O(n2).Sui Generis is a serious square sans from the turn of the millennium.This font includes a license that allows free commercial use: sometimes referred to as a desktop license.For large enough numbers, DecInt will be faster for multiplication and division than native Python.
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DecInt uses a large decimal radix (usually 10250) and stores the very large number in blocks of 250 digits.




Python's binary to decimal conversion uses an O(n2) algorithm and gets slow very quickly.Python uses Karatsuba multiplication which has running time of O(n1.585).This is fastest and most efficient for utilizing memory but converting from binary to decimal is usually slow.Since most computations don't require every result to be displayed in decimal format, almost every arbitrary-precision library uses binary since that makes the computations easier.But if you are after pure performance, a library like gmpy will be the fastest.M/sui-generis this free font is part of a larger font family.File was downloaded 52 times.DecInt uses a combination of Karatsuba, Toom-Cook, and Nussbaumer convolution to get a running time of O(n*ln(n).
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