Data Structures and Algorithms Tutorials

Data Structures and Algorithms Tutorials using C and C++

In this Data Structures and Algorithms using C tutorials series, we are going to cover all the basic and advanced concepts of Data Structures and Algorithms with real-time examples. Each and every concept will explain with simple as well as real-time examples. Data Structures and Algorithms are considered the basis to become a successful programmer.  

Data Structures and Algorithms:

In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

An algorithm is a set of one–by–one instruction to solve a particular problem.

What are Data Structures?

In general, a program is a set of instructions that performs operations on data. So without data, instructions cannot be performed. Data is the most important aspect of a program. So when a program is dealing with the data, how it will organize the data in the main memory, is called the data structure. That means the way we organize the data in the main memory during the execution time of a program is called the data structure.

If you see the components of a computer system, the component that executes the program is the main memory and inside the main memory, we have program code. The program code and data are the two things, for this, the program code will perform operations on the data. So, how we can keep the data here? so that it is best utilized by the program or efficiently utilized by the program. That arrangement of data is called the data structure.

Depending on the requirement of a program, and the type of procedures it is performing, we have different types of data structures. So, depending on your requirement you can choose a suitable data structure.

What are the Lists of Data Structures?

So here we have the list of data structures:-

Physical Data Structures: They define how the data is arranged in memory. Examples are given below.

1. Arrays
2. Matrices
3. LinkedList

Logical Data Structures: They define how the data can be utilized.

1. Stack
2. Queues
3. Trees
4. Graph
5. Hashing

Why Learn Data Structures and Algorithms?

If you want to become a successful software developer or software architect, then it is mandatory for you to have very good knowledge of Data structures and Algorithms. The reason for this is, Data Structure and Algorithms are considered the basis to develop good software. 

The data structure is a core subject for programmers or IT professionals. So computer science graduates and undergraduates who are pursuing engineering courses, have this as a subject. So they have to study as a part of academics and the second thing, in the industry, if you’re working as a programmer then you have to use data structures in your application development. Without data structure, you cannot develop applications at all. So you should have a good understanding of data structure.

At what Level one should study Data Structures?

Level 1: You know what these Data Structures are and how they work. Most programmers will be knowing this one even many programmers who are not computer science graduates but still do programming. So they have an idea of how they work and when to use them?

Level 2: You know how these data structures work in detail and you are also able to do the analysis. That means. what are the operations that are performed by them and you also know how those operations are performed internally. So you know the internal detail and you will able to analyze them based on the time and space complexities.

Level 3: At this level, you know everything in detail and you also know how to code them. You can develop your own data structures so which means you can program them by yourself. For this, you need to do programming practices.

At What Level Does this Course Cover the Data Structure?

This course covers data structure in much more detail i.e. we can say at level three. You will know how they work and you will know the internal details, you will be able to do an in-depth analysis, and also you will be able to write the data structure from the scratch by yourself.

Which Programming Languages are Suitable for Data Structures?

We can select any programming language to learn the data structure.  Some of the programming languages are as follows:

• C
• C++
• Java
• C#
• Python
• Java Script, etc.

Do I have to develop all the data structures by myself in every programming language?

No. All the programming language have their own built-in data structures. Some language provides some data structure while some other language provides all data structures. So, you just have to use them. For using you should know how they work and where to use them. So, level 1 knowledge is sufficient.

All these languages provide built-in data structures like C++ that are STL and in Java, there are collection classes right? In C# also collection classes and in Python also containers are there and in Java Script collections are there and objects are also there in Java Script. So, languages have their own built-in data structure.

Most people study those data structures and they want to understand how to use them, just how they work and how to use them and that is sufficient for most people but this course goes way beyond that one. Here, we will discuss the in-depth analysis of data structures and how to create them in detail.

What about C Language? 

The C language does not have any built-in data structures. So, if you want one of these data structures then you should develop your own code.

Which Language is used in this Course?

As C language does not have any built-in data structures, I am going to use C Language. I will also give sufficient information to do the same in C++ Language. But it is up to you, even though if you want then you can also do the same using C#, Java, Python, etc. But that is your responsibility how to implement the code in these languages.

Why I have selected the C language why not any other language?

C is the perfect language to learn data structure. As we are going to develop everything from scratch. Other languages have built-in data structures.

How the Course Contents are Organized?

The required features of C and C++ are used in the course. So you should be learning C, and C++, and if you brush up on these concepts and then you can start with the course. So I have brushed up on the concept of C and C++ like structures, pointers, arrays, and functions. classes, templates. parameter passing is useful for programming in this course for implementing these data structures.

These Data Structures and Algorithms Tutorials For whom?

This Data Structure and Algorithms tutorial is designed for students, beginners as well as professional software developers with a need to make you understand the in-depth concept of Data Structure and Algorithms starting from scratch. These tutorials provide a hands-on approach to the subject with step-by-step program examples that will assist you to learn and put the acquired knowledge into practice.

What you will learn from these Data Structures and Algorithms using C/C++ Tutorials?

As part of this course, you are going to learn the following in detail.

Introduction to Data Structure and Algorithm
Array and Matrices
Recursion and Backtracking
Linked Lists
Stacks
Queues
Trees
Priority Queue and Heaps
Disjoint Sets ADT
Graph Algorithms
Sorting
Searching
Selection Algorithms
Symbol Tables
Hashing
String Algorithm
Algorithm Design Techniques
Greedy Algorithms
Divide and Conquer Algorithms
Dynamic Programming
Complexity Classes
Miscellaneous Concepts

Prerequisites:

There is no prerequisite required to learn Data Structure and Algorithms using C/C++ as we are going to start from the very basics. But, it is good for you to have a basic understanding of any programming languages such as C, C++, Java, C#, etc. I hope you will enjoy this Data Structure and Algorithms course.

Note: If we miss any concept, then please let us know by putting a comment in the comment box. We promised as soon as possible we will make an article on the same and publish it here.

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Course Information

Course Instructor

Dot Net Tutorials Author

Author: Pranaya Rout Pranaya Rout is a Senior Technical Architect with more than 11 Years of Experience, Microsoft MVP, Author, YouTuber, and Blogger eager to learn new technologies. Pranaya Rout has published more than 3,000 articles in his 11-year career. Pranaya Rout has very good experience with Microsoft Technologies, Including C#, VB, ASP.NET MVC, ASP.NET Web API, EF, EF Core, ADO.NET, LINQ, SQL Server, MYSQL, Oracle, ASP.NET Core, Cloud Computing, Microservices, Design Patterns and still learning new technologies.