Solved 3 LeetCode problems, learned valuable DSA skills

How I'm Building My DSA Foundation: A Step-by-Step Roadmap A few weeks back, I sat down and made a simple plan to get good at Data Structures & Algorithms once and for all; good, here, meaning actually understand how things work under the hood, not only for cracking interviews. Here's what my roadmap looks like Step 1: Choose ONE Language & Learn the Basics ➡️ Java, C++ ,Python ,C Emphasize syntax, loops, functions, and OOP. Let's not jump between languages - depth > breadth. Step 2: Understand Time & Space Complexities Before solving problems, learn to measure efficiency. Big-O Cheat Sheet https://lnkd.in/dCjiDwTk Step 3: Deep Dive into DSA Concepts Here's my hitlist: Searching & Sorting Divide & Conquer Hashing Computer Algorithms-Greedy Algorithms Recursion & Backtracking Trees & Graphs Dynamic Programming DSA Guide- GeeksforGeeks https://lnkd.in/dCZdNv5b Step 4: Practice Religiously Platforms I use daily: LeetCode https://leetcode.com/ HackerRank https://lnkd.in/d2Y3yWcw CodeWars https://www.codewar.com/ CodeChef https://www.codechef.com/ Codeforces https://lnkd.in/d5R9PKnA Step 5: Compete & Track Growth Join coding contests they're the best reality checks. LeetCode Weekly https://lnkd.in/dnzCt72H CodeChef Contests https://lnkd.in/d7GEAUvs TopCoder https://www.topcoder.com/ ⚡My personal rule: “1 problem a day keeps imposter syndrome away.” Stay consistent. Don’t compare. Keep building. #DSA #CodingJourney #100DaysOfCode #TechLearning #ProblemSolving #SoftwareEngineering #CodeNewbie #Developer

🎯 Today I Learned: The Four Pillars of Object-Oriented Programming Diving deep into OOP concepts in Java today, and I'm excited to share what makes these principles so powerful for building robust, scalable applications. 🔒 Encapsulation: Bundling data and methods into a single unit while controlling access through modifiers (private, protected, public). It's all about data protection and preventing unintended interference - keeping your code safe and clean. 🔄 Polymorphism: One interface, multiple implementations. This allows objects of different classes to be treated through a common superclass reference, enabling methods to behave differently based on the object they're acting upon. The result? Flexible, adaptable code. 🧬 Inheritance :Building new classes on existing ones, inheriting properties and behaviors from parent classes. This promotes code reusability and creates natural hierarchies, letting us build complex systems without redundancy. 💡 Abstraction: Hiding complex implementation details and exposing only what's necessary. Through abstract classes and interfaces, we can focus on high-level interactions without getting lost in the underlying complexity. These principles aren't just theoretical - they're the foundation for writing maintainable, scalable software that stands the test of time. #OOP #Java #SoftwareDevelopment #Programming #TechLearning #CodingJourney #SoftwareEngineering #Encapsulation #Polymorphism #Inheritence #Abstraction TAP Academy

🚀 Automating Student Eligibility Analysis with n8n + Python Proud to share a recent milestone in my automation journey! I built a dynamic, error-resistant workflow using n8n and Python to analyze student marks and determine eligibility—fully automated, flexible, and scalable. 🔍 What it does: • Collects student marks via form inputs • Branches logic based on stream (DS or DA) • Executes Python code to calculate averages • Applies conditional checks for eligibility • Routes students to “Eligible” or “Not Eligible” status—no manual effort needed! 💡 Why it matters: This workflow adapts to any number of inputs, handles missing or invalid data, and ensures accurate, real-time decisions. It’s a great example of how low-code tools + custom logic can simplify complex educational processes. 🛠️ Tools used: • n8n (workflow automation) • Python (dynamic data handling) • Conditional logic blocks • Form-based input and routing 📚 As an educator and automation enthusiast, I’m always exploring ways to make systems smarter, faster, and more user-friendly. This project reflects my passion for building robust, future-proof solutions that scale with real-world needs. Would love to hear your thoughts or suggestions! 👇 #n8n #Python #Automation #EdTech #WorkflowDesign #NoCode #LowCode #StudentSuccess #DataEngineering #TejaBuilds

#WisdomWednesday: What do you call a program that can write its own poetry, analyze data, and even power your favorite apps? We call it Python. 🐍 At Durham School of Technology, we teach our students that Python isn't just a programming language; it's a versatile tool for solving real-world problems. However, to truly master it, you must understand the fundamentals. 💡 Here are three core Python concepts our students learn that make all the difference: 🎯 Data Structures (Lists, Dictionaries, Tuples): Think of these as the building blocks of information. Learning how to organize data efficiently is the first step to writing powerful programs. 🔄 Control Flow (If/Else, For/While Loops): This is how a program makes decisions. Mastering control flow allows students to create dynamic applications that respond to user input and changing conditions. 🧩 Functions: Functions are reusable blocks of code that perform a specific task. They keep code organized, efficient, and easy to debug, a critical skill for any professional developer. By focusing on these fundamentals, our students not only learn to write code but also develop the critical thinking skills of a programmer. They build a strong foundation that enables them to tackle complex challenges and earn industry-recognized certifications, such as the PCEP and PCAP. 🎓 This is how we transform students from code beginners into career-ready developers. ✅ #Python #Programming #TechEducation #Coding #FutureOfWork #Durham #Developer #PCAP #PCEP

#Perspective How to Start Learning Any Programming Language or Tool - My Simple Approach One thing I’ve learned on my journey in tech is this: ▪︎ Learning a new programming language or tool is never just about syntax… it’s about building the right approach. When you start noticing patterns, your brain begins to connect the dots. And once you develop a perspective on how to approach a problem, the learning curve becomes smoother. For me, the real growth happens through trial and error: ▪︎ You try something🔁 ▪︎ You fail❌ ▪︎ You understand why🔍 ▪︎You adjust your approach💭 ☆And you don’t repeat the same mistake again💡 Over time, your mind automatically begins to categorize problems: -> “This type needs a logical breakdown.” -> “This one requires iteration.” -> “This is a data-handling issue.” -> “This is related to optimization.” And honestly, that’s what DSA (Data Structures & Algorithms) really teaches us - not just coding tricks, but an ability to recognize patterns, choose the right approach, and solve problems efficiently. So if you’re starting out with Java, Selenium, Python, API testing, or anything else... ¤ Focus on building your approach. ¤ Patterns > Syntax. ¤ Mindset > Memorization. The tools will follow. The logic will stay forever. I used to see all this coding as subject...but a very special person changed by perspective and Inspired me. That one day that 40 50 minutes of exchange of thoughts changed my views. That minutes made me fall in love with Coding, DSA, Tools. #UnleashedMyHiddenPotential in short. #LearningJourney #ProgrammingLearning #DSA #ProblemSolving #TechMindset #QA #Selenium #Java #CareerGrowth #KeepLearning #LinkedInPost

🚀 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐂𝐨𝐝𝐢𝐧𝐠? 𝐂𝐡𝐞𝐜𝐤 𝐎𝐮𝐭 𝐓𝐡𝐞𝐬𝐞 𝟓𝟎 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬! 💻 Whether you're just starting or aiming to master advanced skills, this list has something for everyone. We’ve curated 50 of the best YouTube channels to help you learn: 💡 Programming languages like Python, Java, JavaScript, and C# 📊 Data Science & Machine Learning ⚙️ DevOps, Web Development & Frameworks Each channel is categorized by topic and language, making it easier to follow a clear learning path — from beginner basics to expert-level tutorials. 🌐 If you’ve ever wanted to code your own app, automate a workflow, or break into tech — this guide is your perfect starting point. 🎯 Start learning today. Your next big project begins with a single tutorial. ——— 📖 Credit to: ginacostag #Coding #Programming #LearnToCode #SoftwareDevelopment #TechEducation #Python #Java #WebDevelopment #AI #MachineLearning

I just started learning to code in GO! In my learning process, I would love to connect with industry experts to grow and enrich my knowledge. Your guidance and insights will be valuable.And I aim to document and celebrate each milestone. ---- Day 80/365 : Go basics Q1: What is the zero value of a boolean, integer, and string in Go? - Boolean: false - Integer: 0 - String: "" (empty string) Q2: How do you declare and initialize a variable in Go using both the var keyword and the short declaration syntax? - var x int = 10 - y := 20 Q3: How does the switch statement in Go differ from switch statements in other languages like C or Java? - In Go, switch statements automatically break after each case, - no need for explicit break statements. - multiple expressions or ranges can be tested in a single case statement. Q4: What is a variadic function in Go and provide an example? A variadic function is one that can accept a variable number of arguments. The syntax uses ... before the type of the final parameter. example : func sum(nums ...int) int { total := 0 for _, num := range nums { total += num } return total } Q5: Can you return multiple values from a function in Go?  ans : Yes, Go allows a function to return multiple values. func swap(x, y int) (int, int) { return y, x } #GoLang #LearningToCode #Programming #CodingJourney #TechCommunity #GoDevelopers

🚀 Day 3 of my 30-Day Coding Challenge with Educative.io Today’s problem looked simple but had some fun twists. The task: given a binary string, find the number of steps to reduce it to 1 by repeatedly 1)dividing by 2 if even 2)adding 1 if odd. At first, I tried converting the binary to a number and then looping. Lesson learned — in JavaScript, large binary strings (length > 53 bits) overflow the Number limit. My approach worked for small inputs but failed for long ones. After debugging, I discovered a smarter pattern: 1)Work directly on the binary string from right to left. 2)Use a carry variable to simulate “add 1” operations. 3)Count operations based on whether the current bit + carry is odd or even. This avoids conversion and runs in O(n) time for strings up to 500 characters! Here’s what I took away from this challenge: Always think about data type limits (JS Number ≠ unlimited integer). Sometimes the best solution is bit-level simulation instead of numeric math. Debugging is just as valuable as solving. #JavaScript #CodingChallenge #Educative #LearningInPublic #DSA #ProblemSolving #SoftwareEngineering

**Mastering the Basics of Programming: Your Step-by-Step Beginner's Guide** Programming is a fundamental skill in today's tech-driven world. To build a strong foundation, focus on these core areas: 1. Understand Syntax and Semantics: Start with a beginner-friendly language like Python or JavaScript. Learn the language's syntax—the rules for writing code—and semantics—what the code means. 2. Master Problem Solving: Break problems into smaller parts. Practice writing algorithms using pseudocode before coding. 3. Learn Data Types and Variables: Know types like strings, integers, booleans, and how to store data in variables. 4. Control Flow Structures: Grasp conditionals (if-else) and loops (for, while) to control your program's decision-making and repetition. 5. Functions and Methods: Understand how to write reusable blocks of code using functions or methods. 6. Debugging Basics: Learn to read error messages and use debugging tools to find and fix bugs early. 7. Practice Regularly: Use coding platforms like HackerRank, LeetCode, or Codecademy to hone your skills daily. By mastering these basics, you lay the groundwork to advance into complex topics confidently.

🌟 Why Projects Are the True Identity of a Programmer? In programming, knowledge alone is not enough—implementation is everything. A programmer is not defined by the number of languages they know, but by the projects they build, the problems they solve, and the real-world applications they create. 💡 Projects are important because: They transform theory into practical experience. They build problem-solving skills. They prepare you for real-world industry challenges. They reflect creativity, logic, and innovation. They become your portfolio, identity, and proof of skill. Books teach concepts. Tutorials teach syntax. But projects build programmers. This is why I keep building one project after another — from C++ to Java, and now into Python and Artificial Intelligence — because every project is not just a task, it's a step toward mastery. 🚀 Keep learning, keep building, keep evolving. #Programming #TechMindset #ProjectsMatter #SoftwareDevelopment #GrowthMindset #ProgrammerLife #BuildDontJustLearn