<prompt> Hlalosa mohopolo oa ho pheta-pheta mohatla o sebelisa puo ea lenaneonan  <response>: Instruction in English: Explain the concept of tail recursion using a programming language . Response in English: Tail recursion is a technique in programming where a recursive function calls itself as the last action it performs, with the return value of the recursive call being returned immediately. This type of recursion is known as tail recursion, because the recursive call is the final action performed in the function.Tail recursion can be more efficient than traditional recursion, because it allows the compiler or interpreter to optimize the recursive calls and prevent the program from using excessive amounts of memory by avoiding the creation of multiple stack frames. Rather, with each recursive call, the previous stack frame is overwritten.Lets take a look at an example using the programming language Python to calculate the factorial of a number using tail recursion:pythondef tail_factorialn, accumulator1: if n 1: Base Case return accumulator else: return tail_factorialn-1, naccumulator Tail Recursive CallIn the example above, we define a function tail_factorial that takes in two arguments, n and accumulator. n is the number for which we want to calculate the factorial, while accumulator is used to keep track of the result during the recursive calls. In the base case, when n becomes 1, the function returns the value of the accumulator. Otherwise, the function calls itself, passing n-1 and naccumulator as arguments, which updates the values for the next recursive call. Notice how the recursive call is the last action performed in the function, making it tail recursive.This optimization technique is not available in all programming languages, and its behavior may differ between different compilers and interpreters. . Response in Sesotho: Tail recursion ke mokhoa oa ho etsa mananeo moo tšebetso e iphetang e ipitsang e le ketso ea ho qetela eo e e etsang, me boleng ba ho khutla ba mohala o khutlang bo khutlisoa hang-hang. Mofuta ona oa ho pheta-pheta o tsejoa e le mohatla recursion, hobane pitso e pheta-phetoang ke ketso ea ho qetela e etsoang mosebetsing. Ho pheta-pheta ha mohatla ho ka sebetsa hantle ho feta ho pheta-pheta ha setso, hobane ho lumella motho ea kopantseng kapa mofetoleli ho ntlafatsa mehala e phetoang le ho thibela lenaneo ho sebelisa mohopolo o mongata haholo ka ho qoba ho theha liforeimi tse ngata tsa stack. Ho e-na le hoo, ka mohala o mong le o mong o iphetang, foreimi e fetileng ea stack e ngoloa. Ha re shebeng mohlala ho sebelisa puo ea lenaneo Python ho bala palo ea palo ho sebelisa tail recursion: python def tail_factorialn, accumulator1: haeba n 1: Base Case return accumulator e ngoe: return tail_factorialn-1, naccumulator Tail Recursive Call Mohlaleng o ka hodimo, re hlalosa mosebetsi mohatla_factorial o nkang mabaka a mabedi, n le accumulator. n ke nomoro eo re batlang ho e balla factorial, ha accumulator e sebelisoa ho boloka tlaleho ea sephetho nakong ea mehala e iphetang. Boemong ba motheo, ha n e fetoha 1, mosebetsi o khutlisa boleng ba accumulator. Ho seng joalo, tšebetso e ipitsa, e fetisa n-1 le naccumulator joalo ka likhang, e ntlafatsang boleng ba mohala o latelang o iphetang. Ela hloko kamoo pitso e iphetang e leng ketso ea ho qetela e entsoeng tsebetsong, e etsa hore mohatla o iphetetse. Mokhoa ona oa ho ntlafatsa ha o fumanehe ka lipuo tsohle tsa lenaneo, me boitšoaro ba oona bo ka fapana pakeng tsa baqapi le bafetoleli ba fapaneng. 