Podcast
Questions and Answers
What does FIFO stand for in the context of queues?
What does FIFO stand for in the context of queues?
FIFO stands for 'first in, first out'.
Explain the difference between a stack and a queue.
Explain the difference between a stack and a queue.
A stack follows the LIFO principle, meaning the last item added is the first to be removed, while a queue follows the FIFO principle, where the first item added is the first to be removed.
What is the purpose of the 'push' operation in a stack?
What is the purpose of the 'push' operation in a stack?
'Push' adds an item to the top of the stack.
Why might a dynamic stack be preferable to a static stack?
Why might a dynamic stack be preferable to a static stack?
What action is performed when an item is dequeued from a queue?
What action is performed when an item is dequeued from a queue?
What is the primary drawback of reallocating an array each time a new value is added?
What is the primary drawback of reallocating an array each time a new value is added?
How does using pointers improve the design of array management in C?
How does using pointers improve the design of array management in C?
What must be done to the old memory block after a new list is allocated?
What must be done to the old memory block after a new list is allocated?
What happens to the garbage values in a new memory area when reallocating an array?
What happens to the garbage values in a new memory area when reallocating an array?
What process is used to copy the contents from one array to another in the code described?
What process is used to copy the contents from one array to another in the code described?
What is a struct and how is it accessed in C?
What is a struct and how is it accessed in C?
Explain the role of the ->
operator in C.
Explain the role of the ->
operator in C.
Why is using a pointer necessary when working with linked lists?
Why is using a pointer necessary when working with linked lists?
What does NULL indicate in the context of a linked list?
What does NULL indicate in the context of a linked list?
Describe the structure of a node in a linked list.
Describe the structure of a node in a linked list.
What potential issue arises from allocating excessive memory for a linked list?
What potential issue arises from allocating excessive memory for a linked list?
How does a linked list allow for dynamic sizing compared to an array?
How does a linked list allow for dynamic sizing compared to an array?
When initializing a new node in a linked list, what values may it start with?
When initializing a new node in a linked list, what values may it start with?
What is the first step in creating a linked list in C?
What is the first step in creating a linked list in C?
Explain the significance of allocating memory for nodes in a linked list.
Explain the significance of allocating memory for nodes in a linked list.
Flashcards
What are data structures?
What are data structures?
A way to organize data in memory, vital for efficient programming.
What are abstract data structures?
What are abstract data structures?
Abstract blueprints for data organization, acting as a foundation for concrete structures. Think of them as guidelines before you build actual structures like arrays, linked lists, etc.
What is a queue?
What is a queue?
Data follows the "First In, First Out" principle, like a queue at a store.
What is a stack?
What is a stack?
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What is enqueue?
What is enqueue?
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What is dequeue?
What is dequeue?
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What is push (in stacks)?
What is push (in stacks)?
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What is pop (in stacks)?
What is pop (in stacks)?
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What is an array?
What is an array?
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What is resizing an array?
What is resizing an array?
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What is a linked list?
What is a linked list?
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What are nodes in a linked list?
What are nodes in a linked list?
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What is a binary search tree?
What is a binary search tree?
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What are dictionaries?
What are dictionaries?
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What is hashing?
What is hashing?
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What are hash tables?
What are hash tables?
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What is a collision in hashing?
What is a collision in hashing?
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What is O(1) time complexity?
What is O(1) time complexity?
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What is O(n) time complexity?
What is O(n) time complexity?
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Study Notes
Data Structures Overview
- Data structures are ways to organize data in memory, essential for efficient programming.
- Abstract data structures conceptualize methods for data organization, laying a foundation for later understanding concrete structures.
Stacks vs. Queues
- Queues: Follow FIFO (First In, First Out) principle, similar to waiting in line. Actions include enqueue (adding) and dequeue (removing).
- Stacks: Use LIFO (Last In, First Out) principle, akin to a stack of trays. Primary actions are push (adding) and pop (removing).
- Stacks can be limited by predetermined capacity, leading to inefficiencies if not dynamically managed.
Resizing Arrays
- Arrays are contiguous memory blocks; resizing requires allocating new memory and copying over existing elements.
- Memory management issues arise from inefficiencies when constantly reallocating memory as elements are added, potentially resulting in wasted resources.
Linked Lists
- Linked lists are versatile data structures that allow dynamic memory allocation and values stored in non-contiguous memory.
- Each node in a linked list contains an item and a pointer to the next node, enabling varying memory locations to be linked.
- Complexity involves storing additional pointers and traversing nodes, requiring linear time (O(n)) to search, but constant time (O(1)) to insert at the beginning.
Binary Search Trees
- Binary search trees organize data for efficient searching with a structure that sorts nodes based on values.
- Nodes are arranged such that left children are less and right children are greater than the parent node.
Dictionaries and Hashing
- Dictionaries: Store key-value pairs facilitating fast access; keys help in retrieving corresponding values.
- Hashing: Transforms values into indices for quick access, optimizing retrieval speed.
- A hash table combines arrays and linked lists, containing pointers to nodes for efficient storage.
- Collisions in hash tables occur when multiple values hash to the same index, typically resolved by appending to the linked list at that index.
Time Complexity
- O(1): Desirable constant time access in algorithms, best achieved with dictionaries.
- O(n): Associated with operations like searching through linked lists or inserting into sorted arrays, where performance may degrade with increased data volume.
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