<prompt> Hlahisa serapa se akaretsang tlhaloso ea Big-O.nan  <response>: Instruction in English: Generate a paragraph summarizing the Big-O notation. . Response in English: Big-O notation is a mathematical concept used to describe the performance, or complexity, of an algorithm. It is an essential tool in computer science that specifies the upper bound on the growth rate of a function. Big-O notation provides an approximate measure of how long an algorithm takes to complete relative to the size of the input. It is represented using the letter O followed by a function of n, where n represents the size of the input. The function provides an estimate of the number of steps required to solve a problem of size n. Essentially, Big-O notation is used to estimate the worst-case performance of an algorithm, and it is a valuable tool for comparing the efficiency of different algorithms. . Response in Sesotho: Big-O notation ke mohopolo oa lipalo o sebelisoang ho hlalosa tsebetso, kapa ho rarahana, ha algorithm. Ke sesebelisoa sa bohlokoa sa mahlale a khomphutha se hlalosang moeli o kaholimo ho sekhahla sa kholo ea tšebetso. Big-O notation e fana ka tekanyo e hakanyetsoang ea hore na algorithm e nka nako e kae ho phethela ho latela boholo ba tlhahiso. E emeloa ka ho sebelisa tlhaku O e lateloang ke mosebetsi oa n, moo n e emelang boholo ba kenyelletso. Mosebetsi o fana ka tekanyo ea palo ea mehato e hlokahalang ho rarolla bothata ba boholo ba n. Ha e le hantle, notation ea Big-O e sebelisoa ho hakanya tsebetso e mpe ka ho fetisisa ea algorithm, me ke sesebelisoa sa bohlokoa sa ho bapisa katleho ea li-algorithms tse fapaneng. 