Data Structure
What is Data Structure?
Data Structure is a well-thought way to store and access data in a way that makes sense and is efficient to retrieve the data and put it back in, simple!
As I mentioned earlier too, we are surrounded by data. I don't doubt it, or do you?! Try to find the answer to that if you still are not sure.
When working with data, it needs to be stored somewhere for later use. You might use the data to understand the behaviour of the users or may just recommend products on the basis of their past shopping history.
So, storing and managing data is the next big challenge! Here is where data structure comes into the picture. Before I give you my definition of data structure, let me give you something really concrete to make this concept of data structure clear.
We see a lot of things around our house, is not it? For instance, your clothes, footwear, and kitchen items like grains, spices, salt and sugar. You might wonder why am I mentioning all these things, I know it is weird but you see, all these items have structured storage space! And this is the point I am trying to make! Your clothes go into your wardrobe and not into the containers where the spices are stored.
Similarly, when we work with data in the digital world, it is essential to think of a structure where we can store or keep these data that make sense in terms of accessibility. Efficiency can come later.
We have a variety of Data Structures which are as follows:
- Arrays
- Strings
- Linked List
- Stack
- Queue
- Heap and Priority Queue
- Hashmap
- Binary Tree
- Binary Search Tree
- AVL Tree
- Red Black Tree
- Trie
- Suffix Tree
- Graph
- Segment Tree
- Fenwick Tree
- Sparse Table
- Set
Arrays
- Single Number
- Sliding Window
- Find the Number Occurring Odd Number of Times
- Next Permutation
- Searching and Sorting in Rotated Sorted Array
- Radix Sort
- Bucket Sort
- Counting Sort
- Heap Sort
- Smallest Index with Equal Value
- Aggressive Cows
- Book Allocation Problem
- Binary Search Vs Ternary Search
- Ternary Search
- Square Root using binary search
- Divide the Chocolate
- Find the minimum element in a sorted and Rotated Array
- Minimum coverage by heaters
- Plates Between Candles
- To Find the Nth Number in the Merged and Sorted Lists of Given Ranges
- Find the Maximum Sum of i*arr[i] Among all Possible Rotations of an Array
- Multiple left rotations of an array with O(1)
- Reversal algorithm for right rotation of an array
- Reversal Algorithm for Array Rotation
- Rotation Count
- Program for Array rotation in Java
- Sort a Rotated Sorted Array
- Sort a Rotated Sorted Array
- Moore’s Voting Algorithm
- Next Greater and Smaller Element for Every Element in an Array
String
- Count Valleys
- Compare Version Numbers
- Count and Say
- Longest word in dictionary
- Check If a String is a Palindrome
- Car Fleet
- String matching naive
- KMP String Matching Algorithm
- Rabin Karp
Linked List
- Why is Quick Sort preferred for Arrays and Merge Sort for Linked Lists?
- Application of Linked List Data Structure
- Linked List remove() Method in Java
- How to Convert all LinkedHashMap Values to a List in Java
- Difference between a singly linked list and a doubly linked list
- Create Linked List From A Given Array
- Binary search on Linked List
- Insert a node at a specific position in a linked list
- Deletion of a linked list
- Unrolled linked list
- Implementing a Linked List in Java Using Class
- LinkedList descendingIterator in Java
- Construct a Linked List from a 2D Matrix
- Advantages and Disadvantages of LinkedList
- LinkedList implementation in JavaScript
- Is it possible to reverse a linked list in less than O(n)?
- How to write the functions that modify the head pointer of a Linked List in C?
- Generic Linked List in C
- LinkedList listIterator() method in Java
- Java.util.LinkedList.offer(), offerFirst(), offerLast() in Java
- Retrieving Value from a LinkedHashMap by Index in Java
- LinkedList removeFirst method in Java
- LinkedList add() method in Java
- LinkedList addAll() method in Java
- Singly Linked List To Circular Linked List
- Check If A Linked List Is Circular Linked List
- Circular Linked List Traversal
- Convert a given Binary Tree to Doubly Linked List
- Reverse a Doubly-Linked List in Given Size
- Memory-efficient doubly linked list
Stack
- Stack in C++ (STL)
- Stack Class in Java Collection Framework
- Stack in Python (LIFO Queue)
- Python Stack Using Doubly Linked List
- Difference Between Stack and Tree
- Difference between Array, Queue and Stack
- Implement stack using a singly linked list
- Implement stack using a doubly-linked list
- Next greater/smaller element using a monotonic queue
- Iterative Tower of Hanoi
- Remove Adjacent Duplicates
- Design A Minimum Stack
- Trapping Rainwater
- Delete Middle Element Of The Stack
- Count array elements having at least one smaller element on its left and right side
- Minimize the length of a given string by removing subsequences forming valid parenthesis
- Add two numbers represented by Stacks
- Diagonal Traverse ii
- Minimize a binary string by repeatedly removing even-length substrings of the same characters
- Minimize A String By Removing All Occurrences Of Another String
- Maximum Equal Sum in Three Stacks
- Print Stack Elements from Top to Bottom
- Smallest String Obtained By Removing All Occurrences of 01 and 11 from the Binary String
- Count of days remaining for the next day with higher temperature
- Count of strings that do not contain Arc intersection
- Minimize Length of a String by Removing Pairs of Consecutive Increasing or Decreasing Digits
- Largest rectangle in histogram
- Reverse a linked list using Stack
- Count subarrays for every array element in which they are the minimum
- Check if a string is a subsequence of another string using stack
Queue
- Difference between Queue and Deque in C++
- Advantages of circular queue over linear queue
- Queue of Pairs in C++ STL
- Implementation Of Queue in Java using Array and Generics
- How to remove a specific element from queue
- Queue Remove Method in Java
- Dumping Queue Into List or Array in Python
- Find the index of the array elements after performing given operations k times
- Find Nth positive number whose absolute difference of adjacent digits is at most 1
- Circular queue implementation and operations
- Implement dynamic Deque using templates class and a circular array
- Design Front Middle Back Queue using STL
- Implementation of Deque Using Doubly Linked List
- Generate a permutation of first N natural numbers having count of unique adjacent differences equal to K
- Array obtained by repeatedly reversing array after every insertion from the given array
- First non-repeating character in a stream
- How to efficiently implement k Queues in a single array?
- Sorting of Queue
- Queue Reconstruction by Height
Heap and Priority Queue
- Applications of Heap - Data Structure
- Binary Heap
- Tournament Trees and Binary Heaps
- Implementation of Heap
- Binomial Heap
- Fibonacci Heap
- Leftist Heap
- N-ary Heap
- Priority Queue using Java
- Priority Queue Implementation using Linked List
- Priority Queue Using Doubly Linked List
- Priority Queue Using a Linked List
- Priority Queue using array in C++
- Priority Queue using C++
- Applications of Priority Queue
- Double Ended Priority Queue
- Priority Queue of Pairs In C++ with Ordering
- Converting a BST to Min Heap
- Kth smallest element in a row-wise and column-wise sorted 2D array
- N Max Pair Combinations
- Connect N Ropes
- Median of Stream of Integers Problem
- Connect N ropes with minimum cost
- Sum and product of K smallest and largest Fibonacci numbers in the array
- K-th Smallest Pair Sum in The Given Array
- Maximum product of an Array after subtracting 1 from any element N times
- Find the K closest points to origin using Priority Queue
- Length of longest subsequence such that prefix sum at every element remains greater than zero
- The maximum sum of two non-overlapping intervals in a list of Intervals | Interval Scheduling Problem
- Minimum difference between maximum and minimum value of Array with given Operations
HashMap
- Implementation of HashMap
- Index Mapping
- Double hashing
- Load Factor and Rehashing
- Hash Table vs STL Map
- Difference between HashMap and Hash Table in Java
- Separate Chaining and Open Addressing for Collision Handling
- Binary Subarrays with sum
- LRU Cache Implementation
- Asteroid Collision
- Count Number of Subarrays with Sum K
- Reduce Array Size to The Half
- Minimum operations to choose Array elements with sum as K by choosing an element from the front, or rear or both
- Length Of All Prefixes That Are Also The Suffixes Of The Given String
- Online Election
- Find the highest frequency of non-negative powers that are the same as indices of elements in the given array
- Longest Substring Without Repeating Characters
- The K Weakest Rows in a Matrix
- Count the Triplets
- Kth Distinct String in an Array
- Stone Game VI
- Permutation in String
- Find All Duplicates in an Array
- Longest Consecutive Sequence
- N Repeated Elements in Size 2N
- Custom Sort String
- Winner of Tic-Tac-Toe
Binary Tree
- Binary Tree using dstructure library in Python
- Types of Binary trees
- Create a Balanced Binary Tree using leaf Nodes of a Binary Tree without using Extra Space
- N-Ary Trees
- Construct a Binary Tree from a given Preorder and Inorder traversal
- The Binary Lifting Technique
- Construct a Complete Binary Tree from its Linked List Representation
- Convert a generic tree (n-ary tree) to binary tree
- Double Order Traversal of a Binary Tree
- Specific Level Order Traversal of Binary Tree
- Iterative Postorder Traversal of Binary tree
- Iterative Postorder Traversal of a binary tree | Part-2
- Iterative Preorder Traversal of Binary tree
- Clockwise Triangular Traversal of a Binary Tree
- Level Order Traversal Of A Binary Tree
- ZigZag Traversal of Binary Tree
- Boundary Traversal Of Binary Tree (Recursive and Iterative)
- Iterative Inorder Traversal of Binary tree
- Morris Traversal for Inorder
- Print all Prime Levels of a Binary Tree
- Bottom-left to upward-right Traversal in a Binary Tree
- Check if given inorder and preorder traversals are valid for any Binary Tree without building the tree
- Construct A Perfect Binary Tree From A Preorder Traversal
- Inorder Successor in Binary Tree
- Right View of a Binary Tree
- Left View of a Binary Tree in Java
- Top view of a binary tree | Part-1
- Diameter of Binary Tree
- Convert a given Binary Tree to a Doubly Linked List
- Symmetric Binary Tree
Binary Search Tree
- Introduction to Binary Search tree
- Difference between binary tree and binary search tree
- Inbuilt Binary Search in Different Languages
- Binary Search Tree | Iterative Delete
- Implementing Backward Iterator in BST
- Implementing Forward Iterator in BST
- Insertion in Binary Search Tree
- Insert a node in Binary Search Tree Iteratively
- Construct BST from the given pre-order traversal
- Construct a BST from given postorder traversal using Stack
- Lowest Common Ancestor in a Binary Search Tree
- Finding inorder predecessor of a node in a Binary Search Tree
- Finding Inorder Successor of a node in a Binary Search Tree
- Number of Binary Search Trees of height H consisting of H+1 nodes
- Range Sum of BST
- Flatten a Binary Search Tree to Convert the Tree into a Wave List in Place Only
- Flattening BST in Sorted List
- Row with the maximum number of 1’s
- Create a wave array from the given Binary Search Tree
- Sum of all nodes with smaller values at a distance ‘K’ from the given node in BST
- Median of All Nodes from a Given Range in a BST
- Print All Odd Nodes Of Binary Search Tree
- Print all the even nodes of a Binary Search Tree
- Node with the maximum value in a Binary Search Tree
- Sum and the Product of minimum and maximum elements of a Binary Search Tree
- Find Closest Smaller Value For Every Element In Array
- Find Closest Value For Every Element In Array
- Find the median of BST in O(N) time and O(1) space.
- Kth Largest Element BST
- Largest BST subtree in the given Binary Tree
AVL Search Tree
- Self Balancing Binary Search Trees
- Introduction To AVL Trees
- How to Insert Strings into an AVL Tree
- Optimal Sequence for AVL Tree Insertion
- Deletion in AVL Tree
- Insertion, Searching, and Deletion in AVL trees containing a parent node pointer
Red Black Tree
- Introduction To Red-Black Trees
- Red Black Tree Insertion
- Red-Black Trees Top-Down Insertion
- Deletion in Red-Black Trees
- Red-Black Tree (Delete)
- Insertion in Left-Leaning Red-Black Tree
- Check if a given Binary Search Tree is height-balanced like a Red-Black Tree
- Find the largest K for every Array element such that at least K prefixes are ≥ K
Trie
- Introduction and implementation of Trie
- Dictionaries using Tries
- Delete nodes from trie
- Advantages of Trie Data Structure
- Pattern Searching using Trie
- Longest word in dictionary
- Implement Forward DNS Look Up Cache
- Implement Reverse DNS Look Up Cache
Suffix Tree
- Suffix Array Construction (Brute Force N ^ 2 LogN)
- Suffix Trees (Implementation - Brute Force)
- Find the indices of all the occurrences of a pattern in a string
- Longest Palindromic Substring using a suffix tree
Graph
- Introduction to Graphs
- Graph Representation
- Implementation of Graph in Java
- Implementation of Graph in Python
- Graph Theory
- Graph Types and Applications
- Construct a Graph from the size of components of each node
- Graph And Tree
- Pendant Vertices, Non-Pendant vertices, Pendant Edges, and Non-Pendant Edges of the Graph.
- Properties of Graph
- Breadth-First Search
- Minimum length paths between 1 to N including each node
- Check if the given permutation is a valid BFS of a given tree
- Find integral points with minimum distance from given set of integers using BFS
- Implement Water Supply System
- 0-1 BFS
- 01 Matrix
- DFS Traversal of a Graph - Iteratively
- Check if there are at least T continuous blocks of 0s or not in a Binary Matrix
- Find Regions with Most Common Region Size in a Given Boolean Matrix
- Clone of an undirected graph
- Course Schedule
- Topological sort without Kahn’s algorithm
- Clone a Directed Acyclic Graph
- Word Ladder
- Minimum Cost Path in a directed graph via a given set of necessary nodes
- Stepping Numbers
- Print all paths from a given source to a destination
- Accounts Merge
- Euler and Hamiltonian Paths
Segment Tree
- Introduction to Segment Trees
- Segment Tree
- Merge Sort Tree For Range Order Statistics
- Length of Longest Increasing Subsequences (LIS) using Segment Tree
- Count of Xs in the Array for a given range of indices after array updates for Q queries
- Longest Subarray with GCD Greater than 1
- Count Substrings having Frequency of a Character Exceeding that of Another Character in a String
- Queries to Calculate the Sum of the Array Elements Consisting of an Odd Number of Divisors
- Queries to Calculate Sum of Squares of ASCII Values of Characters of a Substring with updates
- Queries to calculate sum of squares of array elements over range of indices [L, R] with updates
- Range Update in a Segment Tree without using Lazy Propagation and Point Query
- Queries to Count Array Elements from a Given Range having a Single Set Bit
- Queries to Find The First Array Element Exceeding K with Updates
- Maximize value of a pair from two given arrays based on given conditions
- Range minimum query
- Queries to find the min index in a range [L, R] having at least value ele with updates
- Queries to calculate sum with alternating signs of array elements in a given range
- Query to find the length of the longest subarray consisting of only 1s
- Maximize the length of longest subarray consisting of same elements by at most X decrements
- Maximum length of same indexed subarrays from two given arrays satisfying the given condition
- Queries to Count Array Elements Greater Than or Equal to a given Number with Updates
- Maximize sum of array by reducing array elements to contain no triplets (i, j, k) where a[i] < a[j] and a[i] < a[k] and j <i < k
- Queries to Evaluate the given Expression in a range [L, R]
Fenwick Tree
- Find Value After N Operations to Remove N Characters of String S with Given Constraints
- Sum of previous numbers that are greater than current number for given array
- Finding XOR of the Array Elements in a Given Range with Updates using Fenwick Tree
- Queries for the Number of Nodes having Values Less than V in the Subtree of a Node
- Count smaller elements on right side and greater elements on left side using Binary Index Tree
- Find the Number of Pair of Ideal Nodes in a Given Tree
- Range Sum Queries and Update with Square Root
- Number of elements greater than K in the range L to R using Fenwick Tree (Offline queries)
- Count of Inversion of size K in a given array
- XOR of Numbers that Appeared Even Number of Times in Given Range
- Sum of Interval and Update with Number of Divisors
- Maximum Sum of Increasing Subsequence using Fenwick Tree
- Queries for Number of Distinct Elements in the Subarray
- Number of Elements less than or equal to a given number in a given subarray
- Count Inversions using Fenwick Tree
- Two Dimensional Fenwick Tree
- Binary Indexed Tree or Fenwick Tree
- Range Update and Range Queries in Binary Indexed Tree
- Binary Indexed Tree: Range Update and Range Queries
- Querying the Number of Distinct Colors in a Subtree of a Colored Tree using BIT
- Minimum Possible Integer After at Most K Adjacent Swaps On Digits
- The Skyline Problem
Sparse Table
Set
- Implementing Sets Without C++ STL Containers
- Fair Candy Swap
- Count the total numbers with no repeated digits in a range
- Count of Isogram Strings in a Given Array of Strings with Length at Least K
- Maximize count of distinct elements in a subsequence of size K in given array
- Find numbers in the range [L, R] that are coprime with all given Array elements
- Count Of Pairs In Given Array Whose GCD Is Not Prime
Data Structures and Algorithms
We have already discussed data structures and now it is time to have a look at Algorithms and put the terms together as Data Structures and Algorithms to see why is it trending all over in the computer science community.
Algorithms
In mathematics and computer science, an algorithm is defined as the set of instructions/commands given to solve a problem. For example, giving instructions to a computer to sum 2 or more numbers, finding prime numbers from a bunch of given numbers, etc.
We have a variety of algorithms which are as follows:
- Algorithm Analysis
- Recursion
- Backtracking
- Dynamic Programming
- Greedy Algorithms
- String Processing
- Divide and Conquer
- Graph Algorithms
- Searching Techniques
- Sorting Techniques
- Branch and Bound Algorithms
- Bit Manipulation
- SQRT Decomposition
Algorithm Analysis
- Introduction of Time Complexity
- Introduction to Space Complexity
- Asymptotic Notations
- Time & Space Complexity for loops
- Trick questions from Time & Space Complexity
- Iteration Method
- Recursion Tree Method
- Interesting Questions from (Substitution, Iteration, Recursion Tree, Master)
- Time & Space Complexity of Searching Algorithms
- Time & Space Complexity of Sorting Algorithms (Quadratic time algorithms)
- Time & Space Complexity of Sorting Algorithms - 2 (N*logN)
- Time & Space Complexity of Graph Algo - 1
- Time & Space Complexity of Graph Algo - 2
- Time & Space Complexities of Graph Algo-3
- Time and Space Complexity of Linear Data Structures
- Time and Space Complexity of Non-Linear Data Structures
- Recursion & Backtracking Time Complexity
Recursion
- Types Of Recursion
- Tail Recursion
- Different ways to add parentheses
- Josephus Problem
- Sum of the combination of numbers | Part-1
- Sum of the combination of numbers | Part-2
- How to find all the palindromic partitions of a string
- Rat In A Maze
- Word Search
Backtracking
- Backtracking and Recursion
- Min-Max Algorithm
- N-Queen
- Generate Parentheses
- Stone Game
- Sudoku Solver
- Word Break Problem using Backtracking
- Tug Of War
- Permutations
- Implement Hamiltonian Cycle
- Additive Number
- The K-th Lexicographical String of All Happy Strings of Length ‘N’
- Subsets
- Subsets (ii)
Dynamic Programming
- How to solve a dynamic programming problem?
- Memoization vs Tabulation
- Overlapping substructure vs overlapping sub problems
- Subsets
- 0-1 Knapsack
- Count Number of subsets with given Sum
- Subset Sum Problem
- Coin Change: Minimum Number Of Coins
- Unbounded Knapsack
- Target Sum
- Longest Common Subsequence
- Longest common substring
- Longest Palindromic Subsequence
- Minimum insertion to convert the string to a palindrome
- Longest Repeating Subsequence
- LCS of 3 strings
- Shortest Common Supersequence
- Distinct subsequences
- Regular Expression Matching
- Wildcard Matching
- Best time to buy and sell stock
- Best time to buy and sell stock II
- Best Time to Buy and Sell Stock III
- Best Time to Buy and Sell Stock with at most K Transactions
- Best time to buy and sell the stock with cooldown
- Edit Distance
- Wine Selling
- Maximum Product Subarray
- Maximum Area of the Square Submatrix
- Maximal Square
Greedy Algorithms
- Activity Selection problem and Greedy Algorithm-
- Job scheduling algorithm
- Huffman Encoding
- Gas Station
- Minimum Number of Platforms Required for a Railway/Bus Station
- Merge Intervals
- Maximum Disjoint Intervals
- Maximum number of overlapping intervals
- Shortest Unsorted Continuous Subarray
- Queue Reconstruction by Height
- Find maximum meetings in one room
- Reduce array to a single element by repeatedly removing an element from any increasing pair
- Next Permutation
- Minimize Cash Flow among a given set of friends who have borrowed money from each other
- Divide 1 to n into two groups with a minimum sum difference
- Fractional Knapsack Problem
- Minimum initial vertices to traverse the whole matrix with given conditions
- K Centers Problem
- Shortest Superstring
- Minimum Number of Arrows to Burst Balloons
- Find Minimum Number of Arrows Needed to Burst all Balloons
- Equilibrium Point
- Product of array except self
- Jump Game
- Jump Game II
- Boats to Save People
- Get Equal Substrings Within Budget
- Number of wonderful substrings
String Processing
- String Hashing
- Find All Occurrences of the Pattern in the String
- Minimum Repetitions of String A, to Generate String B as its Substring
- Shortest Palindrome
- Find the longest proper prefix that is also a suffix
- Repeated Substring Pattern
Divide and Conquer
- Introduction to the Divide and Conquer Algorithm
- Fast Fourier Transform for polynomial multiplication
- Fibonacci numbers
- Tiling Problem using Divide and Conquer algorithm
- Check if a number is a palindrome or not without using any extra space
- Count the number of inversions in an array using merge sort
- Reduce array to longest sorted array possible by removing either half of given array in each operation
- Merge two sorted arrays in O(1) extra space using QuickSort partition
- Koko Eating Bananas
- Count Negative Numbers in a Sorted Matrix
- How to find the minimum capacity of the ship to ship packages within d days.
- Sum of middle elements of two sorted arrays
- Longest Substring with At Least K Repeating Characters
- Median of Two Sorted Arrays
- Longest Common Prefix using Divide and Conquer Algorithm
Graph Algorithms
- Breadth First Search(BFS)
- Depth First Search(DFS)
- Properties of a Minimum Spanning Tree(MST)
- Kruskal’s Algorithm
- Minimum Cut on a Graph Using a Maximum Flow Algorithm
- Bellman Ford Algorithm
- Floyd Warshall Algorithm
- Kahn’s Algorithms
- DSatur Algorithm for Graph Coloring
- Bipartite Algorithm
- Print all Hamiltonian Cycles in an Undirected Graph
Searching Techniques
Sorting Techniques
- Bubble Sort
- Bubble Sort For Linked List By Swapping Nodes
- Merge Sort
- Quick Sort
- Radix Sort
- Bucket Sort
- Counting Sort
- Heap Sort
Branch and Bound Algorithms
Bit Manipulation
- Hamming Distance
- Total Hamming Distance
- Ugly Numbers 2
- Find Elements
- Bitwise AND of Numbers Range
- Longest Consecutive Sequence of 1’s in the Binary Representation of a Number
- Minimum X (xor) A
- Lucky Alive Person in a Circle
- Count Number of Set Bits in an Integer
- Gray Code
- Number of Steps to Reduce a Number in Binary Representation to One
- Divide Two Integers
- Bitwise Operators in C++
- Binary Numbers of N digits
- Generate All Binary Numbers in the Range [L, R]
- Find a Number X Such that XOR of Given Array after Adding X to Each Element is 0
- Convert given binary to its equivalent ASCII character string
- Count Set Bits in Index Range [L, R] in Given Array for Q Queries
- Count total set bits in an array
- Form a Number Using Bit Rotations of N having the Same Frequency of each Digit
- Maximize Bitwise AND of the array by replacing at most one element
- Bit Stuffing and Bit Destuffing
- Find the maximum product of Bitwise AND and Bitwise OR of K-size subarray
- Find the size of the largest subset with bitwise AND greater than their bitwise XOR
- Find the total number of subsequences having odd Bitwise AND values in the array
- Find the total number of subsequences having odd Bitwise OR values in the array
- Maximize sum of LSBs of Bitwise OR of all possible N/2 pairs from given Array
- Find the next greater number formed with exactly two unique digits for each array element
SQRT Decomposition
Why is Data Structures and Algorithms trending?
Data Structures and Algorithms is one of the hot topics now and is going to stay forever! Wondering why? It is because it tests your critical thinking skills. It serves as a foundation for your problem-solving skills with restricted resources and with at most efficiency which is something every product based giant and startup are looking for. It is there to stay!
If you also dream to get into FAANG, start from today! Check out our courses on Data Structures and Algorithms.
- Data Structures and Algorithms offered in C++
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Advantages Of Data Structures
Without a doubt, data structures and algorithms are critical for acing the tech giants interview rounds. The reason behind this are:
- Data structures help to organise information efficiently which is widely used in the digital space today.
- Good data structure approach allows quick manipulation of large amounts of data by saving lots of time while performing common operations like storage, processing and retrieval of data.
- One of the most important features of data structures is their reusability which further helps to minimise the redundancy in codes.
Disadvantages Of Data Structures
Along with so many advantages of data structures, there are some disadvantages too. Like -
- For managing operations related to data structures highly qualified professionals are needed.
- Complex algorithms may be involved while designing your own data structures which in turn also requires a lot of time and research.
- With the increase in the complexity of application or program, the number of data structures involved also increases. This leads to an increase in maintenance costs due to the requirement of skilled man power.
Applications of Data Structures
Data structures store information according to the mathematical or logical model on which they are built. The operations that can be performed on a data structure make it suitable for specific tasks. Here's a quick rundown of some of the most common uses for data structures.
Storage of Data
Specifying the attribute collections and associated structures used in database management systems to store records helps with facilitating efficient data persistence in data structures.
Exchange of Data
Data structures determine how organised information can be transferred across applications like TCP/IP packets.
Service and Resource Management
File directory management, memory allocation, and processing scheduling queues can all be performed using a linked list data structure, which can be used by basic operating system resources and services.
Scalability
Data structures are used by big data applications to organise and assign data storage across multiple distributed storage locations. This function ensures maximum performance and scalability.
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