Data Structure Assignment
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Top 12 Data Structure And Algorithms
Most commonly and most widely used data structure in many applications…
Every beginner’s programming journey starts with solving the questions of Array. Being a programmer you might have surely used this data structure a lot in your application.
A text editor such as notepad or Microsoft Word uses a stack data structure to accomplish undo tasks in their editor. Another good example of a stack is the browser’s working in your laptop or system. As a beginner, you might have surely read about the common example of stack data structure.
Another popular and common data structure among programmers is Linked List. Now think about the purpose of this data structure in a real-world application.
We all have a music player on our phones, and we have songs on it. Suppose you have 5-6 songs on your list. When you create a playlist for these songs it works on the concept of the linked list
Binary Search Algorithm
Being a programmer you might be aware of the binary search algorithm. This algorithm is also known as half interval search, logarithmic search, or binary chop. In this algorithm, we search for the target value within a sorted array.
Merge Sort Algorithm
Merge sort works on the concept of divide and conquer technique. We divide the list into several sublist until the sublist doesn’t contain a single element. After that, we merge these sublists to get the sorted list of elements. This is a simple and short introduction to this algorithm but do you know where it is used in real-world applications
Huffman coding is used in conjunction with cryptography and data compression. It is used for lossless data compression. Based on the probability, it is implemented in a way that you do not need to keep multiple copies of the same thing.
Another favorite topic for computer science students and for programmers is dynamic programming. 0-1 Knapsack Problem, Wordbreak problems, Longest Common Subsequence all these problems are the most popular and common problems of dynamic programming
The graph data structure is a very powerful data structure. Not only the earth but the whole universe can be represented by the graph. From tiny subatomic particles to the gigantic universe, you can represent each and everything with the help of Graph.
Trie Data Structure
This one is an advanced data structure topic for programmers. You learn it may be for the sake of the job, you also enjoy solving questions based on it but what’s the use of this advanced topic in the real-world application. Where is it implemented in our day-to-day life? Let’s come to that interesting answer
Linear and Non-Linear Data Structures Project/Assignment Help
As the name implies, a linear data structure is one in which data pieces are organised in a linear fashion, with each data item linked to its immediate predecessor and successor. There is just one level of information in a linear data structure. This means that we can go through all the components in a single pass. Since computer memory follows a linear layout, linear data structures are simple to create. Array, stack, queue, linked list, etc. are all examples of such structures.
Non-linear data structures are those in which the data pieces are not ordered in a sequential or linear fashion. When dealing with non-linear data structures, there is not just one level. As a result, it would be impossible to go through all the components in a single pass. To put it simply, non-linear data structures are more difficult to construct than their linear counterparts. Compared to a linear data structure, it makes optimal use of available computer memory. Trees and graphs are two of its many examples.
Get Help In Tree Data Structure Assignment
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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Get Help In Queue Data Structure
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.
Get Help In Python Data Structure
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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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Get Help In Graph Data Structure Task
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 Structure Code Debugging Assignment Help
Errors in code are often called bugs. Debugging is the process of finding and fixing those errors. The term 'bugs' has been used by engineers as far back as the 1840's to describe unexplained malfunctions. An actual computer problem caused by a dead moth in a relay in 1945 popularized the term for programmers
Syntax Errors are errors that occur from not following the rules of the language. These errors generally prevent a program from running.
Runtime Errors occur when you no not anticipate certain input or situations.
Array out of bounds
Logic Errors are a type of Runtime Error. These are the hardest to find and fix because, quite often, your progr