Binary Tree in Data Structures Tutorial in Java | Tree Traversal | Recursive & Iterative | @SCALER

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4.9 هزار بار بازدید - پارسال - In this comprehensive guide, Prateek
In this comprehensive guide, Prateek Narang will help you dive into the fundamental concepts of binary tree in data structures, a popular data structure used for efficient searching, insertion, and deletion operations. Check out free masterclasses by industry-leading experts: https://www.scaler.com/events?utm_sou...  

We'll explore how they work, discuss their properties, and walk you through the implementation and traversal algorithms.

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What are binary trees?
Binary tree in data structures are hierarchical data structures used for efficient searching, insertion, and deletion operations. Each node has two child nodes, where the left child is smaller and the right child is larger. This property allows for fast lookup and sorting of 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.

What is data science?
Data Science is an interdisciplinary field that involves the use of statistical, computational, and machine-learning techniques to extract insights and knowledge from large and complex data sets. It encompasses various stages of data analysis, including data collection, cleaning, processing, modelling, and visualisation.

Who are data professionals?
Data professionals are individuals who work with data to extract insights and knowledge that drive business value. This includes roles such as data analysts, data engineers, database administrators, business intelligence analysts, and data architects. They use various tools and techniques to collect, clean, analyse, and interpret data to help organisations make informed decisions and achieve their goals.

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پارسال در تاریخ 1402/03/27 منتشر شده است.
4,940 بـار بازدید شده
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