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This based on algorithms, all advance level algorithms based task implemented through the data structure. This is the base of each programming language . If is very important in field of software industries which means that it is a must for every student of the programming department to learn it. Realcode4you is the group of best-qualifies experts & professionals which can do your any problems which is related to Data Structure Assignment, Data Structure Project & Data Structure Homework.
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A tree is non-linear and a hierarchical data structure consisting of a collection of nodes such that each node of the tree stores a value, a list of references to nodes (the “children”).
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There are different types of tree data structure: Binary Tree, Binary Search Tree, AVL Tree, B Tree, Red Black Tree, And More Others
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Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
A real-world example of queue can be a single-lane one-way road, where the vehicle enters first, exits first. More real-world examples can be seen as queues at the ticket windows and bus-stops.
Get Help In Linked List Related Assignment
A linked list is a sequence of data structures, which are connected together via links. Linked List is a sequence of links which contains items. Each link contains a connection to another link. Linked list is the second most-used data structure after array.
Following are the important terms to understand the concept of Linked List.
Link − Each link of a linked list can store a data called an element.
Next − Each link of a linked list contains a link to the next link called Next.
LinkedList − A Linked List contains the connection link to the first link called First.
Get Help In Stack Programming Assignment
A stack is an Abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example – a deck of cards or a pile of plates, etc.
A real-world stack allows operations at one end only. For example, we can place or remove a card or plate from the top of the stack only. Likewise, Stack ADT allows all data operations at one end only. At any given time, we can only access the top element of a stack. This feature makes it LIFO data structure. LIFO stands for Last-in-first-out.
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Here list of python data structure topics which is covered by our expert:
Dictionaries, Maps, and Hash Tables
Array Data Structures
Records, Structs, and Data Transfer Objects
Sets and Multisets
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We are providing all Data Structure coding related help. Graph Data Structure is also the important part of data structure, our expert all graph data structure related algorithms; DFS, BFS, MST - kruskal & Prims, Dijikstra, Wellman ford, etc.
DFS(Depth First Search): Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.
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BFS(Breath Frist Search): BFS stands for Breadth First Search is a vertex based technique for finding a shortest path in graph. It uses a Queue data structure which follows first in first out. In BFS, one vertex is selected at a time when it is visited and marked then its adjacent are visited and stored in the queue. It is slower than DFS.
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Data structures have many applications, such as:
Resource and Service Management
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The ensemble methods in machine learning combine the insights obtained from multiple learning models to facilitate accurate and improved decision. In other way we can say, a group of models or classifier are called ensemble.
Data Structure Programming Sample
Example 1: Maximum Value of the Loot
A thief finds much more loot than his bag can fit. Help him to find the most valuable combination of items assuming that any fraction of a loot item can be put into his bag.
Problem Description Task.
The goal of this code problem is to implement an algorithm for the fractional knapsack problem.
Input Format. The first line of the input contains the number 𝑛 of items and the capacity 𝑊 of a knapsack. The next 𝑛 lines define the values and weights of the items. The 𝑖-th line contains integers 𝑣𝑖 and 𝑤𝑖—the value and the weight of 𝑖-th item, respectively.
Constraints. 1 ≤ 𝑛 ≤ 103 , 0 ≤ 𝑊 ≤ 2 · 106 ; 0 ≤ 𝑣𝑖 ≤ 2 · 106 , 0 < 𝑤𝑖 ≤ 2 · 106 for all 1 ≤ 𝑖 ≤ 𝑛. All the numbers are integers.
Output Format. Output the maximal value of fractions of items that fit into the knapsack. The absolute value of the difference between the answer of your program and the optimal value should be at most 10^−3 . To ensure this, output your answer with at least four digits after the decimal point (otherwise your answer, while being computed correctly, can turn out to be wrong because of rounding issues).
Input: 3 50 60 20 100 50 120 30
To achieve the value 180, we take the first item and the third item into the bag.
Input: 1 10 500 30
Here, we just take one third of the only available item.
Example 2: Money Change
In this problem, you will design and implement an elementary greedy algorithm used by cashiers all over the world millions of times per day.
The goal in this problem is to find the minimum number of coins needed to change the input value (an integer) into coins with denominations 1, 5, and 10.
Input Format. The input consists of a single integer 𝑚. Constraints. 1 ≤ 𝑚 ≤ 103 . Output Format. Output the minimum number of coins with denominations 1, 5, 10 that changes 𝑚.
Output: 2 2 = 1 + 1.
Output: 6 28 = 10 + 10 + 5 + 1 + 1 + 1.
Programming Languages In Which You can Get Help
Python is the import programming language which start career as a Data Science and Machine Learning. This is first choice of professionals which learn data science. Now a day it became most popular programming language in the field of data science.
Java is also used for machine learning projects but it is difficult to implement compare to Python programming language. Syntax of this programming language is complex compare to python so developer not choose this as a first choice.
R programming is also became most familiar with Data Science and Machine Learning expert. This is also choose by Data Science expert like a python. It is also simple like python and it provide lots of in-built libraries which make it easy to implement.