Graph in Data Structure Tutorial Part 1 | Introduction to Graphs | Adjacency Matrix & List скачать в хорошем качестве

Graph in Data Structure Tutorial Part 1 | Introduction to Graphs | Adjacency Matrix & List

In this comprehensive guide Prateek Narang (Software Engineer & Educator, SCALER) will help you dive into the fundamental concepts of Graph where we would cover Adjacency Matrix, Adjacency List and Implicit Graphs. Checkout the FREE masterclasses by industry experts here: https://www.scaler.com/events/?utm_so... This in-depth exploration will help you understand and harness the power of these fundamental data structures. What is a Graph? In data structures, a graph is a collection of nodes (vertices) connected by edges. These connections can represent relationships between various entities or data points. Graphs are used to model complex networks, such as social media connections, transportation routes, and more, providing a versatile way to visualize and analyze interconnected data. What is DSA? DSA stands for Data Structures and Algorithms. It refers to a set of techniques and methods used to organise and manipulate data in a computer program. Data structures are a way of organising and storing data in a way that enables efficient access and modification, while algorithms are a set of instructions that perform a specific task or solve a problem. What is data structure? A data structure is a way of organising and storing data in a computer program so that it can be accessed and manipulated efficiently. It defines a set of rules for how data is organised, how it is accessed, and how operations can be performed on it. Examples include arrays, linked lists, and trees. What is an algorithm? An algorithm is a set of instructions for solving a problem or performing a task in a computer program. It defines a series of steps or procedures that must be followed in order to achieve a desired outcome. Algorithms are used in a wide range of applications, from search engines to robotics. Types of DSA There are many types of Data Structures and Algorithms (DSA) including arrays, linked lists, stacks, queues, trees, graphs, hash tables, and sorting and searching algorithms. Each DSA has its own strengths and weaknesses and is suitable for different types of data processing and storage needs. Applications of DS Data Structures have a wide range of applications in computer science, including database management, algorithm design and analysis, operating systems, artificial intelligence, machine learning, and web development. They are used to store, organise, and manipulate large amounts of data efficiently and effectively, enabling faster and more accurate processing of information. Topics covered: 00:00 Introduction 00:40 What is a Graph? 02:05 Applications of Graph 13:09 Classification of Graphs 20:07 Edge List in Graph 33:32 Adjacency Matrix in Graph 42:46 Adjacency List in Graph 54:02 Implicit Graph ______________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: https://bit.ly/3YYGOpi 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord -   / discord   👉 Tweets you cannot afford to miss out on -   / scaler_official   👉 Check out student success stories, expert opinions, and live classes on Linkedin -   / scalerofficial   👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram -   / scaler_official   📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_co... #graphs #datastructures #scaler #dsa #dsalgo #softwareengineering