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Important Notes for Interview related to Data Structures
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There are several data structures that are important to know for an interview, and the specific ones that are relevant may depend on the particular job or company. However, some of the most commonly asked about data structures include:

Arrays: Arrays are a fundamental data structure used to store a collection of elements of the same data type in contiguous memory locations. They offer constant-time access to individual elements, but can be slow when it comes to inserting or deleting elements.

Linked Lists: A linked list is a linear data structure where elements are stored in nodes, each containing a value and a reference to the next node in the list. Linked lists offer fast insertion and deletion, but accessing individual elements can be slower than with an array.

Stacks: A stack is a data structure that follows a Last-In-First-Out (LIFO) order, where elements are inserted and removed from the same end. Stacks are often used to implement algorithms and for memory management.

Queues: A queue is a data structure that follows a First-In-First-Out (FIFO) order, where elements are inserted at the back and removed from the front. Queues are often used in computer science for resource allocation and scheduling.

Trees: A tree is a hierarchical data structure where each node has a parent and zero or more children. Trees are often used to represent hierarchical data such as file systems, organization charts, and HTML documents.

Hash Tables: A hash table is a data structure that stores keys and associated values in a table, with keys being mapped to indices using a hash function. Hash tables offer fast retrieval and insertion, but their performance can degrade if the table becomes too full.

Graphs: A graph is a non-linear data structure consisting of nodes and edges that connect them. Graphs are often used to model relationships between objects, such as in social networks or computer networks.

It's important to not only understand how these data structures work, but also their time and space complexities, as well as their strengths and weaknesses. Being able to analyze a problem and choose the appropriate data structure for the task at hand is a crucial skill for any software engineer.

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➡️Learn JDBC in one video:https://youtu.be/lZbl7Q21t4s

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Kotlin is one video:https://youtu.be/poe98Hzh2n4
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➡️Spring Boot Tutorial with Project : https://www.youtube.com/playlist?list...

➡️Spring MVC Tutorial: https://www.youtube.com/playlist?list...

➡️Complete Spring Framework Tutorial: https://www.youtube.com/playlist?list...

➡️Hibernate Tutorials: https://www.youtube.com/playlist?list...

➡️E-Commerce Project using Java: https://www.youtube.com/playlist?list...

➡️AWS Free Java Hosting Playlist: https://www.youtube.com/playlist?list...

➡️Hibernate Tutorial Playlist: https://www.youtube.com/playlist?list...

➡️Learn Technology in One Vides: https://www.youtube.com/playlist?list...

➡️Programming Tips for Programmers: https://www.youtube.com/playlist?list...

➡️Complete Python for Beginners: https://www.youtube.com/playlist?list...

➡️Important Python Projects: https://www.youtube.com/playlist?list...

➡️Complete Servlet & JSP : https://www.youtube.com/playlist?list...

➡️Complete JDBC ( Java Database Connectivity) : https://www.youtube.com/playlist?list...

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➡️Java Swing Projects: https://www.youtube.com/playlist?list...

➡️Java Core Concepts:https://www.youtube.com/playlist?list...

➡️Kya aap Jante hai Series: https://www.youtube.com/playlist?list...



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