Better Unpack your Tuples like THIS #programming #coding #python Here’s a short video that shows you an even better way than accessing data in a tuple using indexing by using the so-called method tuple unpacking. This simplifies your code, makes it better readable with less lines of code and on big data files it's even faster since the built-in unpacking is faster than accessing the items manually by its index. If you like this video, please like and follow.
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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
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Today I practiced on a classic problem — checking whether a year is a leap year. This task helped me understand how multiple conditions work together using logical operators. What I practiced: if / elif / else conditions Logical operators (and, or) Writing clean and efficient logic It’s interesting how a simple real-world rule can turn into a logical program. #Python #PythonLearning #CodingJourney #100DaysOfCode #Programming #BeginnerPython #DeveloperJourney #ProblemSolving #LearningToCode **Can this logic be written in a more optimized or cleaner way?
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One typo breaks your condition: if a = 0 instead of if a == 0. 🔀 = assigns. == compares. Mix them up and you get a syntax error — or worse, a bug that’s hard to spot. I wrote a short beginner’s guide that covers: ✅ Linear flow vs conditional flow (when different code runs) ✅ What a condition is (True or False) and how to build one ✅ Comparison operators: <, <=, >, >=, ==, != ✅ if and else: syntax, colon, indentation (4 spaces) ✅ Full program: positive or negative number ✅ Multiple statements in each block ✅ Practice problems + the == vs = fix ~5 min read. Straight to the point. https://lnkd.in/g-vTYtye #Python #Programming #Coding #Beginners #LearnToCode #ConditionalStatements #IfElse #ControlFlow #Tech #SoftwareDevelopment #CodingTips
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Stack is a linear data structure that follows the LIFO principle (Last In, First Out). Elements are added and removed only from the top of the stack. Stacks are widely used in function calls, undo/redo operations, and backtracking. They play a key role in expression evaluation and syntax checking. Understanding stacks builds a strong foundation for advanced DSA concepts . #python #programming #DSA #SoftwareEngineering
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Closing a chapter. Opening a new mindset. I just wrapped up the final topic of my Python module — and it hit different. This section was all about digit-based programming, and it pushed me to truly think in logic: ✅ Extracting digits from a number ✅ Printing only the odd digits ✅ Finding the sum of digits ✅ Identifying the greatest & smallest digit ✅ Calculating the difference between them ✅ Checking Spy Numbers 🕵️ (sum of digits = product of digits) ✅ Checking Neon Numbers ✨ (square's digit sum = original number) What started as simple number problems turned into a deep dive into loops, conditionals, and number manipulation — the real building blocks of programming logic. This wasn't just about solving problems. It was about learning how to think like a programmer. 💡 Every concept clicked a little more. Every bug fixed made me a little sharper. That's the journey. If you're just starting out in Python — keep going. The small wins stack up. 🚀 #Python #CodingJourney #LearnToCode #PythonProgramming #100DaysOfCode #BeginnerCoder #TechLearning #Programming #GrowthMindset #LinkedInLearning
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🚀 Day-48 of #100DaysOfCode 🐍 Python Pattern Programming – Continuous Alphabet Triangle Today I implemented an Alphabet Triangle Pattern where characters print continuously using ASCII values. 🔹 Concepts Practiced: ✔ Nested loops ✔ ASCII value manipulation ✔ chr() function ✔ Sequential character logic ✔ Pattern visualization 🔹 Approach: Initialize ASCII value to 65 Convert ASCII to character using chr() Increment the value after each print Continue sequence across rows 🔹 Key Learning: This exercise improved my understanding of character encoding, loop control, and pattern logic building, which are important for strengthening programming fundamentals. #Python #PatternProgramming #AlphabetPattern #CorePython #100DaysOfCode #Day48 #LearnPython #CodingPractice #PythonDeveloper
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🚀 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
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✅ 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
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Problem 287, Find the Duplicate Number on LeetCode, is probably the most unintuitive medium question I’ve ever encountered. I spent around 30 minutes just reading and fully understanding the question, and I still had to draw diagrams and write out a quick proof to convince myself why the solution always works. After that, the implementation was basically around 7 lines of code (if you ignore spacing and use some fancier Python formatting). Despite the hassle, it was a really satisfying “aha” moment, recognizing the linked-list cycle pattern in a problem that doesn’t even use linked-list nodes. #SoftwareEngineering #LeetCode #Coding #Programming
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🚀 𝗗𝗮𝘆 𝟯 𝗼𝗳 𝗠𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 Today I focused on understanding some of the core building blocks of programming in Python. 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗧𝗼𝗽𝗶𝗰𝘀: • While Loop – Learned how to execute code repeatedly while a condition remains true. • For Loop – Used to iterate through ranges, lists, and sequences efficiently. • Functions – Understood how to organize code into reusable blocks. • Recursion – Explored how a function can call itself to solve problems step-by-step. 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝗱 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀: ✔ Printed star patterns using loops ✔ Built number triangle patterns ✔ Used recursion to print list elements ✔ Practiced loop logic with different pattern problems Example of a recursion concept I practiced: 𝘥𝘦𝘧 𝘱𝘳𝘪𝘯𝘵_𝘭𝘪𝘴𝘵(𝘢𝘳𝘳, 𝘪𝘥𝘹=0): 𝘪𝘧 𝘪𝘥𝘹 == 𝘭𝘦𝘯(𝘢𝘳𝘳): 𝘳𝘦𝘵𝘶𝘳𝘯 𝘱𝘳𝘪𝘯𝘵(𝘢𝘳𝘳[𝘪𝘥𝘹]) 𝘱𝘳𝘪𝘯𝘵_𝘭𝘪𝘴𝘵(𝘢𝘳𝘳, 𝘪𝘥𝘹 + 1) This helped me understand how recursion works internally using the call stack. 💡 𝐊𝐞𝐲 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐓𝐨𝐝𝐚𝐲: Loops control repetition, functions organize logic, and recursion solves problems by breaking them into smaller parts. Every day I’m improving my problem-solving ability and programming mindset. On to 𝗗𝗮𝘆 𝟰 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 tomorrow. #Python #LearningInPublic #Programming #DeveloperJourney #100DaysOfCode
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