Getting Started

Each topic is organized into a separate section within this README.md file. To get started with a specific topic, simply click on the src folder, and we are daily updating the code .

Java with DSA Learning Repository

Welcome to the Java Learning Repository! This repository is a comprehensive resource for learning various Java and DSA topics. Whether you're a beginner or an experienced developer looking to refresh your knowledge, this repository has something for you.

Table of Contents

• Object-Oriented Programming (OOP)
• Servlets
• Spring Boot
• Multithreading
• Data Structures and Algorithms (DSA) in Java

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Object-Oriented Programming (OOP)

Learn the principles and concepts of Object-Oriented Programming (OOP) in Java. Explore topics like classes, objects, inheritance, encapsulation, and polymorphism.

1. Introduction to OOP

   • Definition of OOP
   • Key OOP concepts: Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction

2. Classes and Objects

   • Creating classes and objects in Java
   • Class constructors and methods
   • Instance variables and instance methods

3. Inheritance

   • Understanding inheritance and its types
   • Extending classes and creating hierarchies
   • Method overriding

4. Polymorphism

   • Polymorphism and method overloading
   • Runtime polymorphism (dynamic method dispatch)
   • Abstract classes and interfaces

5. Encapsulation and Abstraction

   • Data hiding and access control
   • Abstraction and abstract classes
   • Interfaces and their use

6. Object-Oriented Design Principles

   • SOLID principles (Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion)
   • Composition over Inheritance
   • Design patterns and their role in OOP

7. Object-Oriented Programming in Java

   • Java-specific OOP features
   • Best practices for Java OOP development

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Servlets

Dive into web development using Java Servlets. Understand request-response handling, servlet lifecycle, and web application development.

Introduction to Servlets

• What are Servlets?
• The role of Servlets in web development
• Servlet life cycle and request processing

2. Setting Up a Servlet Environment

   • Installing and configuring a Servlet container (e.g., Apache Tomcat)
   • Creating a basic Servlet project
   • Deploying a Servlet application

3. Servlet Mapping and URL Patterns

   • Mapping Servlets to URL patterns
   • Handling different types of requests (GET, POST, etc.)
   • URL rewriting and forwarding

4. HttpServletRequest and HttpServletResponse

   • Understanding the HttpServletRequest and HttpServletResponse objects
   • Retrieving and processing client requests
   • Sending responses to clients

5. Session Management

   • Working with sessions in Servlets
   • Handling user sessions and data persistence
   • Session tracking mechanisms

6. Servlet Filters and Listeners

   • Implementing Servlet filters for request/response processing
   • Using Servlet listeners for application events
   • Customizing Servlet behavior

7. Error Handling and Exception Handling

   • Handling errors and exceptions in Servlets
   • Configuring error pages
   • Best practices for error handling

8. Servlet Best Practices and Security

   • Security considerations in Servlet development
   • Best practices for secure Servlet coding
   • Preventing common security vulnerabilities

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Spring Boot

Get started with Spring Boot, a popular Java framework. Build RESTful APIs, microservices, and web applications with ease.

1. Introduction to Spring Boot

   • What is Spring Boot?
   • Benefits of Spring Boot
   • Key features and principles

2. Getting Started with Spring Boot

   • Setting up a Spring Boot development environment
   • Creating a basic Spring Boot project
   • Building and running your first Spring Boot application

3. Spring Boot Project Structure

   • Understanding the structure of a Spring Boot project
   • Configuring application properties
   • Managing dependencies with Spring Boot's built-in tools

4. Building RESTful APIs with Spring Boot

   • Creating RESTful web services
   • Handling HTTP requests and responses
   • Implementing CRUD operations

5. Microservices with Spring Boot

   • Introduction to microservices architecture
   • Building microservices with Spring Boot
   • Service discovery and communication

6. Spring Boot and Data Access

   • Connecting to databases
   • JPA (Java Persistence API) with Spring Boot
   • Data repositories and Spring Data

7. Spring Boot Security

   • Securing Spring Boot applications
   • Authentication and authorization
   • OAuth2 and JWT-based security

8. Testing and Deployment

   • Unit and integration testing in Spring Boot
   • Packaging and deploying Spring Boot applications
   • Containerization with Docker

9. Spring Boot Best Practices and Advanced Topics

   • Best practices for Spring Boot development
   • Advanced topics like Spring Cloud, Spring Boot Actuator, and more

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Multithreading

Learn the essentials of concurrent programming in Java. Explore thread creation, synchronization, thread pools, and thread safety.

1. Introduction to Multithreading

   • What is multithreading?
   • Advantages of multithreading
   • Challenges and considerations

2. Creating Threads in Java

   • Creating and starting threads
   • Extending the Thread class
   • Implementing the Runnable interface

3. Thread Synchronization

   • Synchronization and its importance
   • Using synchronized methods and blocks
   • Deadlocks and how to avoid them

4. Concurrency Utilities

   • Java's concurrent utilities package
   • Executor framework and thread pools
   • Callable and Future for managing thread results

5. Inter-Thread Communication

   • Techniques for communication between threads
   • Using wait(), notify(), and notifyAll()
   • Producer-Consumer and other synchronization patterns

6. Thread Safety and Best Practices

   • Strategies for writing thread-safe code
   • Common thread-safety issues
   • Best practices for multithreaded development

7. Java Memory Model

   • Understanding the Java Memory Model
   • Volatile keyword and memory visibility
   • Atomic operations and the use of synchronized

8. Advanced Multithreading Topics

   • Parallelism and Fork-Join framework
   • Non-blocking and lock-free algorithms
   • Dealing with thread interruptions

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Data Structures and Algorithms (DSA) in Java

Master the fundamentals of Data Structures and Algorithms (DSA) using Java. Study common data structures (e.g., arrays, linked lists) and algorithms (e.g., sorting, searching).

Data Structures and Algorithms (DSA) in Java

Welcome to the Data Structures and Algorithms (DSA) section of our Core Java Learning Repository. This section is designed to help you build a strong foundation in DSA, progress to intermediate topics, and eventually explore advanced concepts in Java. Whether you're a beginner, intermediate learner, or advanced programmer, this section provides a comprehensive roadmap to master DSA.

Basic DSA

Data Structures

1. Arrays

   • Introduction to arrays
   • Basic operations (access, update, insert, delete)
   • Array traversal and searching

2. Linked Lists

   • Singly linked lists
   • Doubly linked lists
   • Operations: insertion, deletion, traversal

3. Stacks and Queues

   • Stack data structure
   • Queue data structure
   • Basic operations and use cases

4. Basic Sorting Algorithms

   • Bubble sort
   • Selection sort
   • Insertion sort

5. Basic Searching Algorithms

   • Linear search
   • Binary search

Algorithms

6. Introduction to Algorithm Analysis

   • Time and space complexity
   • Big O notation
   • Best, average, and worst-case scenarios

7. Recursion

   • Recursion basics
   • Recursive algorithms

Intermediate DSA

Data Structures

8. Trees and Graphs

   • Binary trees
   • Binary search trees
   • Graph terminology and types

9. Hashing

   • Hash tables
   • Collision resolution techniques

10. Advanced Sorting Algorithms

    • Merge sort
    • Quick sort
    • Heap sort

11. Advanced Searching Algorithms

    • Hash-based searching
    • Interpolation search
    • Exponential search

12. Stacks and Queues (Advanced)

    • Implementations using arrays and linked lists
    • Advanced operations and use cases

Algorithms

13. Dynamic Programming

    • Dynamic programming basics
    • Knapsack problem
    • Longest common subsequence

14. Graph Algorithms

    • Breadth-First Search (BFS)
    • Depth-First Search (DFS)
    • Dijkstra's algorithm

Advanced DSA

Data Structures

15. Advanced Trees

    • AVL trees
    • Red-Black trees
    • B-trees

16. Advanced Hashing

    • Open addressing
    • Cuckoo hashing

17. Advanced Graph Algorithms

    • Minimum Spanning Trees (Prim's and Kruskal's)
    • Shortest Path Algorithms (Bellman-Ford and Floyd-Warshall)

18. Advanced Data Structures

    • Priority queues and heaps
    • Self-balancing trees (e.g., AVL, Red-Black)

19. Advanced Sorting Algorithms

    • Radix sort
    • Bucket sort

20. Greedy Algorithms

    • Greedy algorithm design
    • Huffman coding
    • Minimum Spanning Trees (Prim and Kruskal)

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Contributions

We welcome contributions to this repository. If you have insights, examples, or improvements related to any of the topics covered, please feel free to create a pull request.