<prompt> ka rala sebopeho sa data joang bakeng sa ho boloka lethathamo la litheko?nan  <response>: Instruction in English: How would you design a data structure for storing a list of stock prices? . Response in English: There are multiple ways to design a data structure for storing a list of stock prices, depending on the specific requirements and constraints. Here is one possible way:1. First, we would need to gather the required information to store for each stock price, such as the date, ticker symbol, open, high, low, close, and volume values.2. Next, we could create a class or structure to represent a single stock price. This class would have member variables to hold the date, ticker symbol, open, high, low, close, and volume values. Alternatively, we could use a dictionary to store these values with the keys being the field names and the values being the corresponding data.3. Then, to store a list of stock prices, we could use an array, linked list, or a dynamic data structure such as an ArrayList or a List depending on the programming language being used. This list would hold objects of the stock price class or the dictionary representing a single stock price.This data structure would allow for easy insertion, retrieval, and manipulation of stock prices. Additionally, if we need to perform operations such as searching or sorting, we could implement custom methods within the class or use built-in functions provided by the programming language being used. . Response in Sesotho: Ho na le mekhoa e mengata ea ho rala sebopeho sa data bakeng sa ho boloka lethathamo la litheko tsa setoko, ho latela litlhoko le litšitiso tse ikhethileng. Tsela e ngoe e ka khonehang ke ena: 1. Taba ea pele, re tla hloka ho bokella lintlha tse hlokahalang bakeng sa theko e ngoe le e ngoe ea setoko, joalo ka letsatsi, letšoao la ticker, bula, holimo, tlase, ho koala le boleng ba boleng. 2. Ka mora moo, re ka etsa sehlopha kapa sebopeho ho emela theko e le ngoe ea thepa. Sehlopha sena se tla ba le mefuta e fapaneng ea litho ho tšoara letsatsi, letšoao la ticker, le bulehileng, le phahameng, le tlaase, le koala, le boleng ba molumo. Ntle le moo, re ka sebelisa buka e hlalosang mantsoe ho boloka litekanyetso tsena ka linotlolo e le mabitso a sebaka me boleng e le data e tsamaellanang. 3. Joale, ho boloka lethathamo la litheko, re ka sebelisa lethathamo, lenane le hokahantsoeng, kapa sebopeho sa data se matla joalo ka ArrayList kapa List ho ipapisitse le puo ea lenaneo e sebelisoang. Lethathamo lena le tla tšoara lintho tsa sehlopha sa theko ea setoko kapa bukantswe e emelang theko e le nngwe. Sebopeho sena sa data se ne se tla lumella ho kenngoa habonolo, ho khutlisa, le ho qhekella ha litheko tsa thepa. Ho feta moo, haeba re hloka ho etsa litsebetso tse kang ho batla kapa ho li hlophisa, re ka sebelisa mekhoa e tloahelehileng ka hara sehlopha kapa ra sebelisa mesebetsi e ahelletsoeng ka hara puo e sebelisoang ke lenaneo. 