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Unix time[a] is a date and time representation widely used in computing. It measures time by the number of non- leap seconds that have elapsed since 00:00:00 UTC on 1 January 1970, the Unix epoch. In modern computing, values are sometimes stored with higher granularity, such as microseconds or nanoseconds.
The year 2038 problem (also known as Y2038, [1] Y2K38, Y2K38 superbug or the Epochalypse[2][3]) is a time computing problem that leaves some computer systems unable to represent times after 03:14:07 UTC on 19 January 2038. The problem exists in systems which measure Unix time —the number of seconds elapsed since the Unix epoch (00:00:00 UTC ...
Epoch (computing) In computing, an epoch is a fixed date and time used as a reference from which a computer measures system time. Most computer systems determine time as a number representing the seconds removed from a particular arbitrary date and time. For instance, Unix and POSIX measure time as the number of seconds that have passed since ...
The term "timestamp" derives from rubber stamps used in offices to stamp the current date, and sometimes time, in ink on paper documents, to record when the document was received. Common examples of this type of timestamp are a postmark on a letter or the "in" and "out" times on a time card. With the advent of digital data systems, the term has ...
ISO 8601 is an international standard covering the worldwide exchange and communication of date and time -related data. It is maintained by the International Organization for Standardization (ISO) and was first published in 1988, with updates in 1991, 2000, 2004, and 2019, and an amendment in 2022. [1] The standard provides a well-defined ...
System time is measured by a system clock, which is typically implemented as a simple count of the number of ticks that have transpired since some arbitrary starting date, called the epoch. For example, Unix and POSIX -compliant systems encode system time (" Unix time ") as the number of seconds elapsed since the start of the Unix epoch at 1 ...
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 27 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 28 ] which was released on June 26, 2009.
A time series database is a software system that is optimized for storing and serving time series through associated pairs of time (s) and value (s). [1] In some fields, time series may be called profiles, curves, traces or trends. [2] Several early time series databases are associated with industrial applications which could efficiently store ...