Day 18 of My Programming Journey – Time Complexity Today I learned about Time Complexity, which helps measure how efficient an algorithm is as the input size grows. Understanding time complexity helps developers write optimized and scalable code. 📌 What is Time Complexity? Time complexity describes how the running time of an algorithm increases with the size of the input (n). 🔹 Common Time Complexities • O(1) – Constant Time • O(log n) – Logarithmic Time • O(n) – Linear Time • O(n log n) – Linearithmic Time • O(n²) – Quadratic Time 🔹 Types of Time Complexity Analysis ✔ Best Case The minimum time required for an algorithm to run. Example: Finding an element at the first position in linear search. ✔ Average Case The expected time an algorithm takes for typical input. ✔ Worst Case The maximum time an algorithm takes when the input is in the most difficult case. Example: Searching an element at the last position in linear search. 💻 Problems I Practiced • Linear Search • Finding largest element in an array • Nested loop programs (O(n²)) • Comparing different algorithm efficiencies #Programming #Java #TimeComplexity #DSA #CodingJourney #LearningDaily
Time Complexity in Programming: Understanding Efficiency
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💡 Understanding the Object Creation Process Using Tracing While learning Object-Oriented Programming, I realized that creating an object is more than just writing a line of code. Tracing the process step-by-step helps us understand what actually happens inside the system. Here’s a simple way to visualize the object creation process: 🔹 Class Loading – The program first loads the class definition into memory. 🔹 Memory Allocation – When an object is created, memory is allocated for it (usually in the heap). 🔹 Initialization – The constructor initializes the object's attributes with the given values. 🔹 Reference Assignment – A reference variable stores the address of the object so it can be accessed later. 📌 Why tracing is important? Tracing helps us understand program flow, debug errors more easily, and build a stronger foundation in programming concepts. Every small concept we understand deeply makes us a better developer step by step. 🚀 #Programming #Java #ObjectOrientedProgramming #LearningJourney #Coding
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Studying one of the most important concepts in System Design for the first time "SOLID Principles" Understanding SOLID has significantly improved the way I approach writing code. Instead of messy, hard-to-maintain code ➡️ now I focus on: ✔️ Writing clean classes ✔️ Making code scalable ✔️ Designing systems that are easy to extend Here’s how I remember it 👇 👉 S → One class, one job 👉 O → Extend, don’t modify 👉 L → Replace child without breaking 👉 I → Keep interfaces small 👉 D → Depend on abstraction These principles are not just theoretical , they are widely used in real-world applications to build scalable and maintainable systems. Consistency is the key 🔥 Learning a little every day. #SOLID #OOP #SystemDesign #CleanCode #Java #SoftwareEngineering #LearningInPublic
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✨ DAY-38: 🚀 Understanding SOLID Principles in a Fun Way 🌳 Learning core concepts doesn’t have to be boring! This tree-based visual perfectly explains the SOLID principles in Java in a simple and memorable way. 🌱 S – Single Responsibility One tree, one job. Keep your classes focused and clean. 🌿 O – Open/Closed Grow new branches without changing the trunk — extend, don’t modify. 🌳 L – Liskov Substitution Child trees should behave just like parent trees — consistency matters. 🍃 I – Interface Segregation Don’t overload — use only what you need. 🌲 D – Dependency Inversion Depend on roots (abstractions), not leaves (concrete implementations). This creative analogy makes complex design principles easier to understand and remember. Sometimes, all you need is the right perspective to master coding concepts! 💡 Keep learning. Keep growing. #Java #SOLIDPrinciples #Programming #Coding #SoftwareEngineering #Learning #Developers #CleanCode
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💻 Built a Diamond Pattern in Java using pure logic and nested loops. While practicing DSA fundamentals, I implemented this pattern by understanding how spaces and stars align in each row. This helped me strengthen my control over loops, conditions, and pattern-based problem solving. 📌 Key Learning: Breaking a complex pattern into smaller logical steps makes it much easier to implement. Consistency in solving such problems is what builds strong programming logic. #Java #DSA #Programming #CodingJourney #ProblemSolving #LogicBuilding #Developers #Learning #100DaysOfCode
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Most of us learned OOP with the same line — "a class is a blueprint." Correct. But what actually happens inside your computer's memory when you write that class and hit run? I wrote an article breaking this down completely — from variables and types, all the way to RAM, the Heap, and the Method Area. Here's what we cover: → Why a class maps perfectly to a type, and an object maps to a value → Where your object variables, objects, and blueprints physically live in memory → What really happens step-by-step when you call new ClassName() → Why static is a fundamentally different kind of thing — and where the analogy completely breaks down If you've ever wondered why a field is null when you expected a value, or why two objects don't interfere with each other — this one's for you. 🔗 Read it here: https://lnkd.in/gmRYw_Mq #Java #SoftwareEngineering #OOP #Programming #LearningInPublic
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Factorial Program Explained | Easy Logic + Coding 💡 Strong fundamentals are essential to become a confident developer. This example shows how Factorial works using simple logic: • Start with number n • Multiply the number with all positive integers before it • Use loop to repeat multiplication • Get the final factorial result Practicing these types of problems improves logical thinking and strengthens coding basics. 📊 Formula n! = n \times (n-1) \times (n-2) \times \cdots \times 1 🎥 I’ve also created a short video explaining this concept with code: YouTube link : https://lnkd.in/gzW8emTu #Java #Programming #ProblemSolving #Coding #SoftwareDevelopment #Learning #CSE #Developers
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Day 20 of Programming – Rearranging Programs Today I practiced array rearrangement problems, which are very useful for improving logic building and problem-solving skills. Rearranging elements in an array helps in understanding index manipulation, swapping techniques, and efficient iteration. 🔹 What I learned today: ✅ Rearranging elements based on conditions ✅ Using loops and swapping techniques ✅ Improving array manipulation skills ✅ Writing optimized solutions 🔹 Practice Problems I Worked On: • Rearrange array in ascending and descending order • Rearrange array so positive and negative numbers alternate • Move all zeros to the end of the array • Rearrange elements so that even numbers come before odd numbers • Reverse an array using swapping technique #Programming #Java #Arrays #ProblemSolving #CodingJourney #Developer #LearningToCode
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🚀 Day 25/60 — LeetCode Discipline Problem Solved: Search Insert Position (Revision) Difficulty: Easy Today’s practice focused on revisiting one of the most fundamental algorithms in computer science — Binary Search. The task was to efficiently determine the position of a target element in a sorted array, or identify the correct index where it should be inserted while maintaining order. This problem reinforces how dividing the search space in half at each step leads to highly efficient solutions with logarithmic time complexity. 💡 Focus Areas: • Strengthened binary search fundamentals • Practiced boundary condition handling • Improved mid-index calculation logic • Reinforced logarithmic-time problem solving • Focused on writing clean and precise code ⚡ Performance Highlight: Achieved 0 ms runtime (100% performance) on submission. Revisiting foundational algorithms like binary search continues to sharpen problem-solving precision and efficiency. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #BinarySearch #Algorithms #DataStructures #ProblemSolving #CodingJourney #SoftwareEngineering #Programming #Developers #TechCareers #Java
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🚀 Day 22/60 — LeetCode Discipline Problem Solved: Reverse Integer (Revision) Difficulty: Medium Today’s practice focused on revisiting the classic integer manipulation problem — Reverse Integer. At first glance the problem appears straightforward: reverse the digits of a number. However, the real challenge lies in carefully handling edge cases such as integer overflow and maintaining correctness within the 32-bit signed integer range. Instead of using built-in conversions, the solution iteratively extracts digits and rebuilds the reversed number while ensuring that the result stays within valid bounds. 💡 Focus Areas: • Strengthened digit extraction using modulo operations • Practiced iterative number reconstruction • Handled integer overflow edge cases • Reinforced careful boundary condition checks • Focused on writing efficient and clean logic ⚡ Performance Highlight: Achieved ~99.9% runtime efficiency on submission. Revisiting foundational problems like this continues to sharpen attention to detail and improve algorithmic discipline. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #Algorithms #ProblemSolving #CodingJourney #SoftwareEngineering #Programming #Developers #TechCareers #Java
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📘 Strengthening my knowledge on the 12 Rules of Interface 1️⃣ Interface is a contract 👉 Defines rules that classes must follow ✔ Used for standardization 2️⃣ Cannot create object of interface 👉 Interfaces are incomplete (no full implementation) ❌ new InterfaceName() not allowed 3️⃣ Methods are public & abstract by default 👉 No need to write public abstract ✔ Compiler adds it automatically 4️⃣ Variables are public, static, final 👉 Constant values only ✔ Must be initialized 5️⃣ No constructor in interface 👉 Because object creation is not possible 6️⃣ A class uses implements keyword class A implements InterfaceName 7️⃣ Class must implement all abstract methods 👉 Otherwise class must be declared abstract 8️⃣ Interface supports multiple inheritance 👉 A class can implement multiple interfaces class A implements I1, I2 9️⃣ Interface can extend another interface interface B extends A 🔟 Interface cannot extend a class 👉 Only interfaces can extend interfaces 1️⃣1️⃣ Default methods (JDK 8) 👉 Method with body inside interface ✔ Supports backward compatibility 1️⃣2️⃣ Static methods (JDK 8) 👉 Access using interface name InterfaceName.method() ❌ Not inherited / overridden 🎯 Shortcut Memory Tip 👉 Interface = Contract + Abstract + Constants + JDK8 features #Java #OOP #Interfaces #Programming #Learning #CodingJourney #Developers #TapAcademy
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