🚀 Day 45 of #100DaysOfCode 📌 Problem: Rotate Array (LeetCode 189) 🔹 Problem Statement: Given an integer array nums, rotate the array to the right by k steps, where k is non-negative. 🔹 Approach: Instead of rotating the array one step at a time, we use the Reverse Technique. Steps: 1️⃣ First calculate k % n to handle large rotations. 2️⃣ Reverse the first part of the array (0 → n-k-1). 3️⃣ Reverse the second part (n-k → n-1). 4️⃣ Finally reverse the entire array. This gives the rotated array efficiently. 🔹 Time Complexity: ⏱️ O(n) 🔹 Space Complexity: 📦 O(1) (In-place rotation) 💡 Key Learning: Using array reversal is a very efficient way to rotate arrays without extra space. #DSA #LeetCode #Python #CodingChallenge #Programming

🚀 #Day41 of #100DaysOfCode 📌 Problem: 80. Remove Duplicates from Sorted Array II Today’s challenge was about handling duplicates in a sorted array while keeping the array in-place. 💡 Key Idea: The array is already sorted, so duplicates appear next to each other. We need to ensure that each number appears at most twice. Extra duplicates beyond two should be removed while maintaining the original order. 🧠 Approach: 1️⃣ Traverse the array from left to right. 2️⃣ Keep track of how many times the current number appears consecutively. 3️⃣ Allow insertion only if the occurrence count is ≤ 2. 4️⃣ Maintain an index pointer to place valid elements in the correct position. ⚡ Complexity: Time Complexity: O(n) Space Complexity: O(1) (in-place modification) #leetcode #Python #programming #coding #softwaredevelopment #100daysofcode

✅ 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

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 12/60 – 60-𝐃𝐚𝐲 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 🦾 Today's topic is "𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬" 𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 & 𝐢𝐧𝐯𝐨𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 Functions encapsulate 𝒓𝒆𝒖𝒔𝒂𝒃𝒍𝒆 𝒍𝒐𝒈𝒊𝒄 with a def keyword, allowing you to define a block of code that can be called (invoked) by name. A function may accept parameters, perform operations, and return a result with return. Defining a function promotes 𝒓𝒆𝒂𝒅𝒂𝒃𝒊𝒍𝒊𝒕𝒚, 𝒕𝒆𝒔𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚, 𝒂𝒏𝒅 𝒎𝒐𝒅𝒖𝒍𝒂𝒓 𝒅𝒆𝒔𝒊𝒈𝒏, while invoking it (e.g., result = add(2, 3)) drives code reuse and abstraction. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: 𝘥𝘦𝘧 𝘢𝘥𝘥(𝘢, 𝘣):   𝘳𝘦𝘵𝘶𝘳𝘯 𝘢 + 𝘣 𝘱𝘳𝘪𝘯𝘵(𝘢𝘥𝘥(2, 3))   # Output: 5 Understanding these operators made me realize how programs make decisions and perform actions based on logic. They may look like simple symbols, but they are essential for writing meaningful code. Step by step, building stronger logic. #learning #python #consistency #challenge #60days #coding #programming #functions #definitions #invocations

✅ Day 56 of 100 Days LeetCode Challenge Problem: 🔹 #24 – Swap Nodes in Pairs 🔗 https://lnkd.in/g6W2b3Fq Learning Journey: 🔹 Today’s problem focused on swapping every two adjacent nodes in a linked list. 🔹 I used an iterative pointer manipulation approach to swap nodes in pairs without modifying node values. 🔹 A prev pointer helped connect previously swapped pairs with the current pair. 🔹 Careful handling of edge cases (empty list or single node) ensured correctness. Concepts Used: 🔹 Linked List Manipulation 🔹 Pointer Rewiring 🔹 Iterative Traversal 🔹 In-place Modification Key Insight: 🔹 Linked list problems often rely entirely on precise pointer updates. 🔹 Keeping track of previous connections prevents breaking the list structure. 🔹 Drawing pointer transitions step-by-step makes implementation much easier. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity

🚀 𝐃𝐚𝐲 8/60 – 60-𝐃𝐚𝐲 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 Today's topic is "𝐁𝐨𝐨𝐥𝐞𝐚𝐧 𝐯𝐚𝐥𝐮𝐞𝐬" Boolean values represent the two fundamental truth constants in logic: 𝒕𝒓𝒖𝒆 and 𝒇𝒂𝒍𝒔𝒆. In programming and digital systems, they drive decision-making, control flow, and conditional evaluation by resolving expressions to either 𝐓 or 𝐅. Proper use of booleans enhances readability, enables efficient branching, and underpins logical operators such as AND, OR, and NOT. When modeling real-world problems, clear boolean expressions help ensure correct outcomes and easier maintenance 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝘷𝘢𝘳 = 0 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 0 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) 𝘷𝘢𝘳 = 1 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 1 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) Understanding these operators made me realize how programs make decisions and perform actions based on logic. They may look like simple symbols, but they are essential for writing meaningful code. Step by step, building stronger logic. #learning #python #consistency #challenge #60days #coding #programming

🚀 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

Matmath v4.0.0-rc1 is now available. This release focuses on performance and correctness. 👉 Added CPython support for faster calculations when compared to the previous python-only solution. 👉 Fixed a bug in Matrix initialization that could produce incorrect state in some cases. 👉 Fixed a bug in bool(Vector) evaluation. PyPI: https://lnkd.in/gSCmxe_z Repo: https://lnkd.in/gHntrufh #python #numericalcomputing #opensource #softwareengineering #math #devtools

Matmath v4.0.0 (Stable release) is now available. This release fixes a few things over the last release, namely: - Addition of `matmath.legacy` for backward compatibility - Usage of `matmath.legacy` as a fallback to the CPython implementations instead of throwing an ImportError PyPI: https://lnkd.in/gW84uupa Repo: https://lnkd.in/gHntrufh #python #numericalcomputing #opensource #softwareengineering #math