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SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
Short Payment Descriptor uses the ideas from the vCard (by the structure) and SEPA payment (semantics). It is designed to be compact, human readable and therefore, easy to implement. The format is based on defined key-value pairs and it can be extended by proprietary attributes (using the "X-" prefix).
Automatic date formatting: Citation Style 1 and 2 templates, including this template, automatically render dates in all date parameters (such as |date=, |publication-date=, |access-date=, |archive-date=, etc.) except for |orig-date= in the style specified by the article's {{use dmy dates}} or {{use mdy dates}} template.
The cash flow statement differs from the balance sheet and income statement in that it excludes non-cash transactions required by accrual basis accounting, such as depreciation, deferred income taxes, write-offs on bad debts and sales on credit where receivables have not yet been collected. [5] The cash flow statement is intended to: [6] [7] [8]
In communications messages, a date-time group (DTG) is a set of characters, usually in a prescribed format, used to express the year, the month, the day of the month, the hour of the day, the minute of the hour, and the time zone, if different from Coordinated Universal Time (UTC).
For example, the 6th day of the 1st month of the year 2009 may be written as "2009-01-06" in the extended format or as "20090106" in the basic format without ambiguity. For reduced precision , [ 18 ] any number of values may be dropped from any of the date and time representations, but in the order from the least to the most significant.
The valid time and transaction time do not have to be the same for a single fact. For example, consider a temporal database storing data about the 18th century. The valid time of these facts is somewhere between 1701 and 1800. The transaction time would show when the facts were inserted into the database (for example 1998-01-21).