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Pair programming Pair Programming, 2009. Pair programming is a software development technique in which two programmers work together at one workstation. One, the driver, writes code while the other, the observer or navigator, [1] reviews each line of code as it is typed in. The two programmers switch roles frequently.
An au pair (/ oʊ ˈ p ɛər /; pl.: au pairs) is a person working for, and living as part of, a host family.Typically, au pairs take on a share of the family’s responsibility for child care as well as some housework, and receive a monetary allowance or stipend for personal use.
Pair testing is a software development technique in which two team members work together at one keyboard to test the software application.One does the testing and the other analyzes or reviews the testing.
Twisted pair cabling is a type of ... the tram companies were held responsible for disruption to existing telegraph lines and had to pay for remedial work. ...
Pair production often refers specifically to a photon creating an electron–positron pair near a nucleus. As energy must be conserved, for pair production to occur, the incoming energy of the photon must be above a threshold of at least the total rest mass energy of the two particles created. (As the electron is the lightest, hence, lowest ...
Ordered pairs of scalars are sometimes called 2-dimensional vectors. (Technically, this is an abuse of terminology since an ordered pair need not be an element of a vector space.) The entries of an ordered pair can be other ordered pairs, enabling the recursive definition of ordered n-tuples (ordered lists of n objects).
Unordered pair, or pair set, in mathematics and set theory; Ordered pair, or 2-tuple, in mathematics and set theory; Pairing, in mathematics, an R-bilinear map of modules, where R is the underlying ring; Pair type, in programming languages and type theory, a product type with two component types; Topological pair, an inclusion of topological spaces
A pairs trade or pair trading is a market neutral trading strategy enabling traders to profit from virtually any market conditions: uptrend, downtrend, or sideways movement. This strategy is categorized as a statistical arbitrage and convergence trading strategy. [ 1 ]