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Solutions to Data Structure Assignment Questions | Homework Help for Computer Science Students

If you're a computer science student, or maybe you're just a programming enthusiast, you may be aware of the importance of data structures. Typically, data structures form the basics of programming and are not very challenging. But like any other new concept, they may seem confusing and hard to understand when getting started. But with time and consistency, you eventually get to the top.

As a student of data structures, you need to practice data structure questions and answers consistently and consult with your peers to ensure that you capture every concept. You can also request expert help for your data structure assignment questions if you don't understand certain concepts.

At GradeWriters, our mission is to help newbies get their feet off the ground in programming through our data structures assignments help program. Or maybe an experienced programmer who doesn't have time to handle all their data structures assignments, even though they know how to handle them.

But for a beginner:

What Is Data Structure?

In programming, a data structure can be considered a container where related data is stored when writing programs. Basically, we use data structures to keep our programs organized and well-formatted for ease of readability and efficiency. Thus, data structures form an integral part of all programming languages and the entire computer science ecosystem.

For instance, if you've been asked to write a programming assignment that stores data about the names and number of members of your class as well as their ages, it would be efficient to store the two components in separate objects (we'll learn about them shortly). Then, assuming you're 40 members, you only need one object to store all that—instead of assigning each of them a variable.

Again, it becomes much easier to access and modify the elements individually. That helps write programs per the popular "Don't Repeat Yourself" (DRY) principle, a great programming practice. And, of course, that's what we follow in all our programming assignment help services.

Before delving into the different data structures used in programming, it's important to understand another related term—data types.

Data Types Explained

A data type in programming refers to the attributes given to the different program elements to tell the compiler what the elements are and how they should be interpreted. For instance, a full number like 50 is called an integer, while a sentence like "My name is John Doe" is called a string (in most programming languages).

5 Common Data Types

  • Integer, e.g., 0, 1, 2, 3,...
  • Double/Floating-point numbers, e.g., 0.1, 0.2, 0.3, 0.4,...
  • String, e.g., "I am John Doe."
  • Boolean- either True or False
  • Character, e.g., a, b, c, d,...

Basic and Key Data Structures in Programming

They can be classified into two:

  • Linear Data Structures, e.g., Arrays, Linked Lists, Unions, Structures, and stacks.
  • Non-Linear Data Structures, e.g., trees, hash tables, graphs.

Before you learn more about linear and non-linear data structures, make sure to give us a call if you have exceptional data structure assignment help.

Linear Data Structures

A linear data structure implies that data elements are arranged sequentially. Also, each element is connected to the previous and next elements.


An array is a data structure used to hold/store items of the same data type. For instance, in the previous examples about your classmates, you can store them in a single array because they are all strings. The same applies to their ages (integers). Each item in the array is called an element.

An array will always have the zero-based indexing feature in all programming languages, which is critical in how the different elements are accessed. The binary search concept is also used in accessing the elements. Note that an array can store all the different data types we have just mentioned, provided they are all the same types.

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Linked List

A linked list is a data structure made of elements called nodes, each of which comprises two parts—the node data and a pointer to the next node. That tells you a linked list is dynamic, where each node connects to the next via a pointer.

For instance, if you've been assigned writing a program that uses a linked list, you may think of a queue. Practically, members in a queue are interconnected, and each of them can be considered a node.

Besides queues, you may think of implementing a stack. They all use the same principle—a linked list. If you have some challenging linked list that you'd want to consult, our data structure assignment help program is open for you.

Unions and Structures

If you have done C programming language, chances are you've been introduced to structs. Now, unions are similar to structs, only that they have a special feature that allows you to store multiple data types in the same memory location (for reference purposes).

Note that only one data type can occupy the memory location at a given time—they cannot be stored simultaneously. From our experience, most students struggle with data structure assignments related to unions and structs, but they aren't as tough. Therefore, you only need experts to offer you data structure assignment help or recommend some model papers.


In data structures and algorithms, a stack is a structure that applies the ordinary stacking technique, where we can only add or remove an element from the top only. For instance, in a stack of cards or plates, you cannot remove one from the sides—you have to remove or add from the top.

However, most programming assignments using this technique tend to be challenging, even for an experienced student. But what students need to know is, every assignment is doable! Just connect with a good team of experts and ensure the best data structures and algorithms assignments service.

Non-Linear Data Structures

Non-linear data structures have no particular sequence of connecting their elements. On the other hand, linear data structures, such as arrays, support zero-based indexing and binary search because they are ordered. And of course, in graphs and trees, traversal cannot be done once through all elements, a feature that makes them useful in multi-level storage.

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