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The "decimal" data type of the C# and Python programming languages, and the decimal formats of the IEEE 754-2008 standard, are designed to avoid the problems of binary floating-point representations when applied to human-entered exact decimal values, and make the arithmetic always behave as expected when numbers are printed in decimal.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
Download as PDF; Printable version; In other projects ... +1.58% 10 29: ... The constant 1.25506 is 30 log 113 / 113 to 5 decimal places, as ...
Moreover, in the standard decimal representation of , an infinite sequence of trailing 0's appearing after the decimal point is omitted, along with the decimal point itself if is an integer. Certain procedures for constructing the decimal expansion of x {\displaystyle x} will avoid the problem of trailing 9's.
Recent X releases (since 2014, xorg-rgb version 1.0.6) [10] also support the W3C definitions. In X11, the original definitions have been preserved (so "Dark Gray" remains a darker shade of "Gray"), but for every conflicting name pair, "Web" and additional "X11" prefixes have been added to ease disambiguation after the merger.
YAML version 1.2 is a superset of JSON; prior versions were not strictly compatible. For example, escaping a slash / with a backslash \ is valid in JSON, but was not valid in YAML. [ 46 ] YAML supports comments, while JSON does not.
Some encodings (the original version of BinHex and the recommended encoding for CipherSaber) use four bits instead of six, mapping all possible sequences of 4 bits onto the 16 standard hexadecimal digits. Using 4 bits per encoded character leads to a 50% longer output than base64, but simplifies encoding and decoding—expanding each byte in ...
In the U.S., using median hourly earnings statistics (not controlling for job type differences), disparities in pay relative to white men are largest for Latina women (58% of white men's hourly earnings and 90% of Latino men's hourly earnings) and second-largest for Black women (65% and 91% when compared to Black men), while white women have a ...