Many developers ask: Why do Java Collections not support primitive data types? The reason is that Java Collections work with objects, not primitives. To handle primitive values, Java uses Wrapper Classes like Integer, Double, and Character. Example: int → Integer double → Double char → Character This process is called Autoboxing and Unboxing. Understanding such small concepts can make a big difference in mastering Java. 🚀 #CoreJava #JavaTips #Programming #JavaDeveloper
Java Collections and Primitive Data Types Explained
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Just dropped a new video on Comparator Interface in Java — covering custom sorting logic using multiple approaches (class, anonymous class and lambda). A clean, visual explanation to make sorting truly click. #Java #Comparator #Coding #LearningEveryday Watch here: https://lnkd.in/geW_UKh9
Master Comparator in Java | Custom Sorting Logic Using Class, Anonymous & Lambda
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Day 5 – Java Stream Practice | Finding Duplicate Characters Today I worked on finding duplicate characters in a string using Java Streams. Problem: Given a string, identify characters that appear more than once. Approach: Removed spaces from the string Converted characters into a stream using chars() Used Collectors.groupingBy() along with counting() to calculate frequency Filtered characters with count greater than 2 This exercise helped me strengthen my understanding of: Stream transformations (chars(), mapToObj()) Frequency counting using grouping operations Writing clean and functional-style Java code Sample Input: I Love Java Output: Duplicate characters along with their frequency Consistently practicing Java Streams is improving my approach to data processing and problem solving. #Java #100DaysOfCode #JavaStreams #ProblemSolving #CodingJourney
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Revision | Day 6 – Multithreading Today I explored the basics of Multithreading in Java and why it is important for building high-performance applications. What is Multithreading? Multithreading allows a program to execute multiple threads (smaller units of a process) simultaneously. It helps improve application performance and better CPU utilization. Thread vs Runnable There are two main ways to create threads in Java: 1. Extending Thread class class MyThread extends Thread { public void run() { System.out.println("Thread is running"); } } 2. Implementing Runnable interface (recommended) class MyRunnable implements Runnable { public void run() { System.out.println("Thread is running"); } } Runnable is preferred because Java supports single inheritance but multiple interfaces. Synchronization When multiple threads access shared resources, it may cause inconsistent results. Synchronization ensures that only one thread accesses the critical section at a time. Example: synchronized void increment() { count++; } Deadlock Deadlock occurs when two or more threads wait for each other to release resources, causing the program to freeze. Example scenario: Thread 1 → lock1 → waiting for lock2 Thread 2 → lock2 → waiting for lock1 Both threads get stuck forever. Key takeaway: Understanding multithreading is essential for building scalable backend systems and handling concurrent requests efficiently. #Java #Multithreading #BackendDevelopment #JavaDeveloper #LearningInPublic
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Abstraction means hiding implementation details and showing only essential features. It focuses on what to do, not how to do. Achieved using abstract classes and interfaces in Java. #Java #OOP #Abstraction
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Entry-level Algorithm Challenge: Array Manipulation in Java. Today I tackled a foundational exercise: reading a list of numbers and filtering out only the negative values. It was a great opportunity to reinforce some core Java concepts: 1. Flow control with do-while loop: Ensuring valid input within a specific range. 2. Simplified iteration with for-each loop: Improving code readability. 3. Handling flags (boolean signals): Providing clear, user-friendly feedback. Check out the logic below! 👇 #Java #Algorithms #SoftwareDevelopment #Coding
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Built a Java program to print number patterns 💻 Used nested loops to control rows and columns. Implemented outer loop for rows and inner loop for pattern logic. Printed numbers in increasing order for each row. Improved understanding of loop concepts in Java. Practiced pattern-based problem solving. Focused on writing clean and readable code. Strengthening logic building step by step 🚀 Consistency is key to mastering programming 🔥 Small programs like this build a strong foundation. #Java #JavaProgramming #CodingJourney #LearnToCode #StudentDeveloper #ProgrammingBasics #LogicBuilding #TechSkills #100DaysOfCode #DevelopersLife
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🚀 Object Serialization and Deserialization (Java) Object serialization is the process of converting an object's state to a byte stream, which can then be stored in a file or transmitted over a network. Deserialization is the reverse process, reconstructing the object from the byte stream. Java provides the `ObjectOutputStream` and `ObjectInputStream` classes for serialization and deserialization, respectively. The class of the object being serialized must implement the `Serializable` interface. Serialization is useful for persisting object data and transferring objects between applications. #Java #JavaDev #OOP #Backend #professional #career #development
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🧬 Java Collections – ArrayList Deep Dive Yesterday I explored ArrayList in more detail. ✔️ Looping through elements ✔️ Using methods like remove(), contains(), and size() Understanding these operations helps in managing dynamic data effectively in Java. Also practiced DSA problems like: • Removing even numbers from a list • Finding common elements between two lists Strengthening both collection usage and problem-solving together. 🚀 #Java #Collections #DSA #LearningInPublic #BackendDevelopment #DeveloperJourney
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Day 4 — Java Stream Practice Today’s focus was on solving a common problem using Java Streams: finding the most frequent element in a collection. Given a list of words, the task was to identify the element that appears the highest number of times. Approach: Grouped elements using Collectors.groupingBy() Counted occurrences with Collectors.counting() Streamed over the map entries Used max() with Map.Entry.comparingByValue() to find the highest frequency Extracted the result using map(Map.Entry::getKey) This exercise reinforced how Streams can simplify data processing by replacing traditional loops with a more declarative approach. Key learning: Breaking down a problem into smaller transformations makes the solution more readable and maintainable. Looking forward to exploring more real-world use cases of Java Streams. #Day4 #Java #JavaStreams #Coding #ProblemSolving #BackendDevelopment #LearnInPublic
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