Day 55 LeetCode Challenge: Jump Game Problem

🚀 30 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 — 𝐃𝐚𝐲 #13 | 𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐍𝐞𝐬𝐭𝐞𝐝 𝐋𝐨𝐨𝐩𝐬 Day 13 was focused on learning intermediate and advanced concepts of nested loops. Today, I explored how loops can be placed inside other loops to create more structured and complex program flows. Understanding this concept helped me see how programs handle multi-level iterations. 📌 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐨𝐯𝐞𝐫𝐞𝐝: 🔹 Intermediate nested loop structures 🔹 Advanced nested loop logic 🔹 How loops interact with each other inside different levels 🔹 Using nested loops to generate different patterns 💡 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: - Nested loops are powerful when it comes to handling multi-level iteration and pattern-based logic. - Understanding how each loop controls rows and columns is key to mastering patterns. A 𝐡𝐮𝐠𝐞 𝐬𝐡𝐨𝐮𝐭𝐨𝐮𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 & 𝐃𝐞𝐛𝐮𝐠 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 for explaining these concepts so clearly and making even complex topics easy to understand. The structured explanations really make learning smoother. 𝐃𝐚𝐲 13 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 ✅ Each concept is helping me think more logically about programming. 💻✨ #Python #30DayChallenge #Day13 #NestedLoops #PatternProgramming #PythonLearning #CodingJourney #LearnToCode #Programming #TechGrowth

They asked for the sum of 5 numbers. The loop ran forever. One line was missing: count += 1. Without incrementing the counter, the condition never became false. One line. Infinite loop. I wrote a beginner practice guide that walks through both classics: ✅ Sum of N numbers — counter loop, running sum, read inside the loop ✅ Sum of positive vs negative separately — two sums, if/else inside the loop ✅ Variables you need: num_of_numbers, sum, count (and why count < N, not <= N) ✅ Full program structure and trace examples ✅ Common mistakes: forget count += 1, wrong condition, forget to init sum to 0 ✅ Clear takeaways and next steps ~6 min read. No fluff. https://lnkd.in/gkhQBbuQ #Python #Programming #Coding #Beginners #LearnToCode #SumOfNumbers #WhileLoop #Practice #Tech #SoftwareDevelopment #CodingTips

Day 5: 90-Day Coding Challenge 🚀 Continuing the journey by strengthening my understanding of greedy algorithms and efficient array traversal techniques. Today’s problem focused on the Best Time to Buy and Sell Stock challenge. The goal was to determine the maximum profit that can be achieved by buying and selling a stock once, given the stock prices across different days. Instead of checking all possible buy–sell combinations, I applied a greedy one-pass approach by tracking the minimum price seen so far and calculating the potential profit at each step. This allowed me to efficiently determine the best possible transaction while scanning the array only once. Today’s learning highlights: ✅ Understanding how maintaining a running minimum helps identify the best buying point ✅ Calculating profit dynamically while traversing the array ✅ Achieving an optimized O(n) time complexity with O(1) space complexity This problem reinforced an important insight: keeping track of key values during a single traversal can eliminate the need for nested iterations and significantly improve performance. Day 5 completed. On to Day 6. 💻🔥 #90DayCodingChallenge #CodingJourney #DSA #Arrays #GreedyAlgorithm #ProblemSolving #Python #LearningJourney #Consistency #Growth

The loop never stopped. They forgot one line: count += 1. A while loop runs as long as the condition is True. If you never change the variable in the condition, it stays True forever. One line inside the loop fixes it. I wrote a short beginner's guide that covers: ✅ Why loops? Repeat code instead of copy-paste ✅ while syntax and flow (condition → block → repeat) ✅ Pattern 1: Repeat N times with a counter (e.g. print Hello 10 times) ✅ Pattern 2: Repeat until condition is false (e.g. digits of a number in reverse) ✅ Why you must update the variable — avoid infinite loops ✅ Summary of both patterns + key takeaways ~4 min read. Straight to the point. https://lnkd.in/g2QAD7wD #Python #Programming #Coding #Beginners #LearnToCode #WhileLoop #Loops #Tech #SoftwareDevelopment #CodingTips

That moment when you feel confident about a topic… until the exam question appears. You studied it. You understood it. You even explained it to your friends. But during the exam, your brain suddenly decides to question everything. Programming has taught me one important lesson: Memorizing concepts is easy, but truly understanding them comes from practice. The more you build, debug, and experiment, the more clarity you gain. Over time, what once felt confusing starts to feel natural. This is why working on small projects matters. Every bug fixed and every feature built strengthens your understanding far more than just reading definitions. Learning to code is not about remembering answers. It’s about developing the mindset to figure them out. #Python #Programming #CodingJourney #LearnToCode #DeveloperMindset #BuildInPublic

They wanted the maximum of 5 numbers. The program printed 0. Every number was negative. max = 0 fails when all inputs are negative. Read the first number into max, then loop for the rest. One idea, two bugs avoided. I wrote a beginner guide that covers two classics in one: ✅ Maximum of N numbers — read first into max, loop N−1 times, update if larger (and why not max = 0) ✅ Decimal to binary — divide by 2, collect remainders, reverse. In code: prepend to a string. ✅ Why the "build as number" method loses leading zeros (and why string method is correct) ✅ Full programs: max of N and decimal-to-binary with n=0 handled ✅ Summary, takeaways, and next steps (min, binary→decimal) ~6 min read. Straight to the point. https://lnkd.in/gqJWam9x #Python #Programming #Coding #Beginners #LearnToCode #Maximum #DecimalToBinary #Binary #WhileLoop #Practice #Tech #SoftwareDevelopment #CodingTips

𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 — 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗻𝗲𝘁. 📖 "𝗧𝗵𝗶𝗻𝗸 𝗣𝘆𝘁𝗵𝗼𝗻" by Allen Downey. This is the book every beginner wished existed when they were starting out. It doesn't just teach you syntax — it teaches you how to think like a programmer. Concepts are broken down in a way that actually makes sense, with a focus on problem-solving over memorization. The best part? It's 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗳𝗿𝗲𝗲. No paywalls. No sign-ups. Just open it and start learning. 🔗 https://lnkd.in/gsmPuymX Whether you're an absolute beginner or brushing up on the fundamentals — grab it, open your terminal, and start experimenting. That's where the real learning happens. What's a resource that changed how you learned to code? Drop it in the comments 👇 #Python #LearnToCode #100DaysOfCode #Programming #Tech #DataScience #Developer #CodingTips

Count digits. Sum digits. Reverse the number. Check palindrome. Four problems, one loop. Same idea every time: n % 10 gives the last digit, n // 10 removes it. Repeat while n > 0. What you do with each digit is what changes. I wrote a step-by-step practice guide that covers: ✅ The core technique: % 10 and // 10 with a full trace (e.g. 12359) ✅ Challenge 1: Count digits (counter loop) ✅ Challenge 2: Sum of digits ✅ Challenge 3: Reverse a number (rev = rev * 10 + digit) ✅ Challenge 4: Check palindrome (save original, then compare) ✅ Pattern recognition: same loop structure, different use of the digit ✅ Common mistakes (forget n = n // 10, compare n instead of saved copy) and fixes ~9 min read. One technique, four challenges. https://lnkd.in/g4RwH_Er #Python #Programming #Coding #Beginners #LearnToCode #DigitOperations #SumOfDigits #Palindrome #Tech #SoftwareDevelopment #CodingTips

✅ Day 61 of 100 Days LeetCode Challenge Problem: 🔹 #260 – Single Number III 🔗 https://lnkd.in/gKWtdDrb Learning Journey: 🔹 Today’s problem focused on finding the two elements that appear only once in an array where all others appear twice. 🔹 I used a frequency counting approach with Counter to track occurrences. 🔹 Then, I iterated through the dictionary and collected elements with frequency equal to 1. 🔹 This straightforward method ensures correctness with clear logic. Concepts Used: 🔹 Hash Map / Dictionary 🔹 Frequency Counting 🔹 Array Traversal 🔹 Filtering Logic Key Insight: 🔹 Hash-based counting simplifies duplicate detection problems. 🔹 When constraints allow extra space, clarity can be prioritized over bit-level optimization. 🔹 This problem also has an advanced XOR-based O(1) space solution, but counting keeps the implementation simple and readable. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity