Dynamic Programming for Interleaving String Problem

Some problems are not about choosing one path, but about validating all possible paths. Day 20/100 — Data Structures & Algorithms Journey Today’s Problem: Interleaving String This problem challenged me to think in terms of combining two inputs to form a third one while maintaining order. Approach: I used Dynamic Programming to track whether a substring of s3 can be formed using substrings of s1 and s2. At each step, I checked whether the current character in s3 could come from s1 or s2, and built the solution progressively. Key Takeaways: Dynamic Programming helps manage multiple choices efficiently Thinking in terms of states simplifies complex problems Validating combinations is a key problem-solving skill This problem strengthened my understanding of DP and string manipulation. #DSA #LeetCode #DynamicProgramming #ProblemSolving #SoftwareEngineering #CodingJourney #100DaysOfCode #TechLearning #DeveloperJourney #Programming #Python #InterviewPreparation #CodingSkills #ComputerScience #JobReady #FutureEngineer #TechCareers #SoftwareDeveloper #LearnInPublic #OpenToWork

Some problems are not about logic alone, but about coordination. Day 27/100 — Data Structures & Algorithms Journey Today’s Problem: Print Zero Even Odd (Concurrency) This problem introduced me to the concept of thread synchronization and how multiple threads can work together in a controlled way. Approach: There are three threads: - One prints 0 - One prints even numbers - One prints odd numbers To ensure the correct order, I used locks to control execution flow between threads. Each thread waits for its turn and releases control after completing its task. At each step: - Zero prints first - Decides whether odd or even should run - Odd/Even prints and returns control to zero Key Takeaways: Concurrency requires coordination, not just logic Locks help manage thread execution order Understanding flow control is crucial in multithreading Structured synchronization avoids race conditions This problem strengthened my understanding of concurrency and thread synchronization. #DSA #LeetCode #Concurrency #Multithreading #ProblemSolving #SoftwareEngineering #CodingJourney #100DaysOfCode #TechLearning #DeveloperJourney #Programming #Python #InterviewPreparation #CodingSkills #ComputerScience #FutureEngineer #TechCareers #SoftwareDeveloper #LearnInPublic #OpenToWork

Sometimes progress is not about solving new problems, but about revisiting what we’ve learned. Day 28/100 — Data Structures & Algorithms Journey (Revision Day) Today, I focused on revising key problems and concepts from the past few days to strengthen my understanding. Topics Revised: - Dynamic Programming (Interleaving String) - Bit Manipulation (Single Number II) - Linked List (Rotate List) - String Matching (Bulls and Cows) - Greedy + Stack (Remove K Digits) - Two Pointer Technique (Two Sum II) - Concurrency (Print Zero Even Odd) What I focused on: - Understanding the intuition behind each solution - Revisiting optimized approaches - Practicing dry runs without looking at code - Strengthening problem-solving patterns Key Takeaways: Revision helps convert knowledge into long-term memory Recognizing patterns is more important than memorizing solutions Confidence grows when concepts are revisited Consistency is the real key to improvement This revision helped me connect multiple concepts and improve my problem-solving clarity. #DSA #LeetCode #Revision #ProblemSolving #SoftwareEngineering #CodingJourney #100DaysOfCode #TechLearning #DeveloperJourney #Programming #Python #InterviewPreparation #CodingSkills #ComputerScience #FutureEngineer #TechCareers #SoftwareDeveloper #LearnInPublic #OpenToWork

🚀 Day 79 of #100DaysOfCode 💡 LeetCode 338 – Counting Bits Solved today’s problem with a clean and efficient Dynamic Programming + Bit Manipulation approach 💪 🔍 Problem: For a given number "n", return an array where each index "i" contains the number of 1’s in the binary form of "i". ⚡ My Approach: Instead of recalculating bits every time, I reused previous results: 👉 "ans[i] = ans[i >> 1] + (i & 1)" 🧠 Why this works: - "i >> 1" → removes the last bit - "(i & 1)" → checks if last bit is 1 📈 Performance: ✅ Runtime: 3 ms (Beats 95% 🚀) ✅ Memory: 20.14 MB 🔥 Key Learning: Patterns in binary operations can simplify problems drastically. DP + bit tricks = powerful combo ⚡ #Day79 #LeetCode #CodingJourney #Python #DSA #DynamicProgramming #BitManipulation #100DaysOfCode

I just wrapped up a Student Result Management System built with Python, and I’m excited about the progress. What started as a simple logic exercise quickly turned into a functional tool. Key features I implemented: Data Structures: Used Dictionaries to efficiently map student names to their scores and grades. Control Flow: Applied loops and conditionals to automate grading and result processing. File Handling (The big win!): Integrated .txt file operations so that student data is saved and retrieved even after the program closes. Moving from volatile memory to File Handling felt like a major milestone—it’s the difference between a temporary script and a persistent application. 📂 I’m currently focusing on strengthening my backend fundamentals and building projects that solve small, real-world problems. Next up: Exploring how to structure this more efficiently using Functions or maybe even a CSV format for better data portability! Any tips from the dev community on optimizing file storage in Python? Let me know below! 👇 #Python #CodingJourney #BackendDevelopment #Programming #StudentProject #LearningToCode

🐍 Python in Industrial Environments: Driving Openness and Efficiency Today, Python stands out as one of the most widely used programming languages in the world, supported by a rich ecosystem and a massive community. Integrating Python into an industrial environment like straton opens up new possibilities: access to a wide range of libraries (data, AI, processing, communication), reduced development time thanks to a simple and widely adopted language, easier recruitment and faster team upskilling, enhanced interoperability with IT and data tools. By combining the robustness of IEC 61131-3 environments with the flexibility of Python, it becomes possible to accelerate application development while maintaining a high level of industrial reliability. 🎥 Watch the video and feel free to share your experience using Python in your industrial projects. #Python #Industry40 #IndustrialSoftware #IEC61131 #Automation #DataIntegration

Day 2/30 – Building with Python Recently, I worked on a Vehicle Feedback System using Python The idea behind this project was to create a simple system where users can: 📝 Submit feedback about vehicles 📊 Store and manage responses efficiently Through this project, I learned: ✨ How to handle user input and data ✨ Basic logic building and structuring a program ✨ The importance of user-friendly systems This is just the beginning — I’m planning to improve it further by adding: OTP-based authentication for better security Database integration for scalability Possibly a simple UI for better user experience Building projects like this is helping me understand how real-world systems evolve step by step Would love your suggestions or ideas to improve this further! #Day2 #PythonProject #LearningInPublic #StudentDeveloper #BuildInPublic #TechJourney

Visualizing Multithreading: From Race Conditions to Thread Safety 🧵💻 I’ve always believed that the best way to master complex Operating System concepts is to build them from scratch. I recently developed a Multithreading Task Manager in Python to simulate how modern OSs handle concurrent tasks. Key features I implemented: ✅ Thread Lifecycle Simulation: Visualizing threads moving from New → Ready → Running → Terminated. ✅ Race Condition Demo: Showing how data corruption occurs without proper locking mechanisms. ✅ Mutex Locks: Using threading.Lock() to ensure critical sections are protected. ✅ Producer-Consumer Pattern: Implementing a thread-safe Task Queue. Building this helped me bridge the gap between theoretical OS concepts and practical, thread-safe Python code. Check out the demo below! 👇 #Python #Multithreading #OperatingSystems #ComputerScience #SoftwareEngineering #BackendDevelopment #Concurrency

DAY-13 PYTHON SERIES What is Encapsulation? Encapsulation is the concept of wrapping data (variables) and methods (functions) together into a single unit (class) and restricting direct access to some of the data. Data hiding + controlled access. 🔹 Why is it important? ✔ Protects data from accidental changes ✔ Improves security ✔ Makes code more maintainable 🔹 Example in Python: class BankAccount: def __init__(self, balance): self.__balance = balance # private variable def deposit(self, amount): self.__balance += amount def get_balance(self): return self.__balance acc = BankAccount(1000) acc.deposit(500) print(acc.get_balance()) 🔹 Real-world example: Think of an ATM machine — you can deposit or withdraw money, but you cannot directly access the internal system. 💡 Key Idea: Hide internal data and allow access only through methods. #Python #OOP #Encapsulation #Coding #Programming #LearnPython #Developer #SoftwareEngineering #100DaysOfCode #Tech

Small code. Smart validation. 💡 Today I built a simple Python logic to validate phone numbers in different formats — and it reminded me how powerful basics can be. From checking length to handling formats like: ✔️ 03XXXXXXXXX ✔️ 03XX-XXXXXXX ✔️ +92XXXXXXXXXX This small logic represents something bigger: 👉 Clean input validation 👉 Better user experience 👉 Error prevention in real systems As developers, we don’t just write code — We make systems reliable. Every small project like this improves logic, accuracy, and real-world readiness 🚀 If you're learning programming, focus on the basics — That’s where real strength is built. #Python #CodingJourney #LearnToCode #DeveloperLife #ProblemSolving #TechSkills #BuildInPublic