<prompt> Etsa lenaneo le rutang liithuti ka mekhoa ea boitsebiso.nan  <response>: Instruction in English: Design a program that teaches students about data structures. . Response in English: Welcome to the Data Structures Introduction program! In this program, we will learn about some common data structures and their uses.A data structure is a way of organizing data so that it can be used efficiently. There are several types of data structures, and each has its own advantages and disadvantages. In this program, we will cover some of the most commonly used data structures:1. Arrays: An array is a collection of elements, each identified by an index. It is a simple and efficient data structure used to store and retrieve elements in a sequential manner.2. Linked Lists: A linked list is a collection of nodes, each containing data and a reference to the next node in the list. It is an efficient data structure for inserting and removing elements.3. Stacks: A stack is a collection of elements, with the operations of adding and removing elements implemented as push and pop, respectively. It follows the Last-In-First-Out LIFO principle. Stacks are used in many algorithms and data processing tasks.4. Queues: A queue is similar to a stack, but it follows the First-In-First-Out FIFO principle. Elements are added at the end of the queue and removed from the front. Queues are useful for managing tasks and scheduling.5. Trees: A tree is a hierarchical data structure, consisting of nodes connected by edges. Each node has a parent node and zero or more child nodes. Trees are used for many applications such as storing hierarchical data, searching and sorting.6. Graphs: A graph is a collection of nodes connected by edges. It can be used to represent complex relationships between data elements, such as social networks, transportation networks, and more.7. Hash Tables: A hash table is a data structure used for fast searching and lookup. It uses a hash function to map keys to indices in an array, allowing for constant-time average case retrieval.Each of these data structures has its own strengths and weaknesses, and the choice of data structure for a particular problem depends on the specifics of the task at hand. In the following lessons, we will dive deeper into each of these data structures, learning about their implementation, uses, and performance. By the end of this program, you will have a solid understanding of data structures and their applications. So, lets get started! . Response in Sesotho: Rea u amohela lenaneong la Selelekela sa Mehaho ea Boitsebiso! Lenaneong lena, re tla ithuta ka libopeho tse ling tse tloaelehileng tsa data le tsebeliso ea tsona. Sebopeho sa data ke mokhoa oa ho hlophisa lintlha e le hore li ka sebelisoa ka katleho. Ho na le mefuta e mengata ea libopeho tsa data, me e ngoe le e ngoe e na le melemo le melemo ea eona. Lenaneong lena, re tla akaretsa tse ling tsa libopeho tsa data tse sebelisoang ka ho fetisisa: 1. Arrays: Sehlopha ke pokello ea likarolo, e ngoe le e ngoe e khetholloa ka index. Ke mokhoa o bonolo le o sebetsang oa data o sebelisetsoang ho boloka le ho khutlisa likarolo ka tatellano. 2. Manane a Kopantsoeng: Lethathamo le hokahaneng ke pokello ea li-node, e ngoe le e ngoe e na le data le ho buuoa ka node e latelang lethathamong. Ke sebopeho sa data se sebetsang hantle bakeng sa ho kenya le ho tlosa likarolo. 3. Stack: Stack ke pokello ea likarolo, ka tsebetso ea ho kenyelletsa le ho tlosa likarolo tse kenngoeng tsebetsong joalo ka push le pop, ka ho latellana. E latela molao-motheo oa Last-In-First-Out LIFO. Li-stacks li sebelisoa ho li-algorithms tse ngata le mesebetsing ea tsebetso ea data. 4. Lethathamo: Lethathamo le tšoana le qubu, empa le latela molao-motheo oa First-In-First-Out FIFO. Lintlha li eketsoa qetellong ea mokoloko ebe li tlosoa ka pele. Mela e thusa ho laola mesebetsi le ho hlophisa. 5. Lifate: Sefate ke sebopeho sa data sa hierarchical, se nang le li-node tse kopantsoeng ka mathōko. Node e ngoe le e ngoe e na le node ea motsoali le node ea bana kapa ho feta. Lifate li sebelisetsoa litsebetso tse ngata joalo ka ho boloka data ea maemo a holimo, ho batla le ho hlophisa. 6. Kerafo: Kerafo ke pokello ea li-node tse hokahaneng ka mathōko. E ka sebelisoa ho emela likamano tse rarahaneng lipakeng tsa likarolo tsa data, joalo ka marang-rang a sechaba, marang-rang a lipalangoang, le tse ling. 7. Litafole tsa Hash: Tafole ea hash ke sebopeho sa data se sebelisetsoang ho batla ka potlako le ho sheba. E sebelisa tsebetso ea hash ho etsa mapa oa linotlolo ho li-indices ka tatellano, e lumellang ho khutlisa linyeoe tsa nako le nako. E ngoe le e ngoe ea mekhoa ena ea data e na le matla le mefokolo ea eona, me khetho ea sebopeho sa data bakeng sa bothata bo itseng e itšetlehile ka lintlha tse tobileng tsa mosebetsi o etsoang. Lithutong tse latelang, re tla kenella hare ho e ngoe le e ngoe ea libopeho tsena tsa data, re ithute ka tsebetsong ea tsona, tsebeliso le tsebetso ea tsona. Qetellong ea lenaneo lena, o tla ba le kutloisiso e tiileng ea libopeho tsa data le litsebetso tsa tsona. Kahoo, a re qaleng! 