Python LeetCode Challenge: Longest Common Prefix

Day 6/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 6: Zigzag Conversion 💡 Problem: Convert a string into a zigzag pattern across given rows and read it line by line. 🧠 What I learned: • Pattern simulation • String manipulation • Handling direction changes efficiently 💻 Example: Input: "PAYPALISHIRING", numRows = 3 Output: "PAHNAPLSIIGYIR" 🚀 Insight: By simulating row-wise movement (down & up), we can efficiently build the zigzag pattern. Improving step by step 💪 #30DaysOfCode #Python #LeetCode #Strings #CodingChallenge #ProblemSolving

Today I practiced types of arguments in Python functions with small examples. I learned how Python allows us to pass values to functions in different ways: Positional Arguments – where order matters Default Arguments – where parameters have default values Keyword Arguments – where we use parameter names while passing values I also practiced a small program to find the sum of even numbers from a mixed list using a function. Understanding these argument types helps in writing flexible and reusable functions. Every small concept makes coding more clear step by step #Python #LearningJourney #Functions #CodingPractice

Task 4: Fibonacci Sequence Math meets Code! 🧮 For Level 2 Task 4 with @Cognifyz Technologies, I worked on the classic Fibonacci Sequence. I wrote a Python function that generates the Fibonacci sequence up to a given number of terms requested by the user. Watch the code execution below! 👇 #cognifyztechnologies #cognifyz #cognifyztech #Python #Algorithms

Master the art of 2D arrays/lists in Python with ease. Discover everything you need to know to create 2D arrays and lists from scratch in Python. Learn how to define, index, and manipulate 2D data structures in Python to enhance your coding skills. Read the full article 👉 https://lnkd.in/dWGgRENZ #Python #ITfreshers #PythonLists #Datastructures #TechLab Code. Learn. Build. — TechLab by Neeraj

Day 11/30 – Python 🐍 Today I learned about inheritance and how classes can reuse and extend functionality. Tried a few examples and understood how it helps in writing cleaner and scalable code. Concepts getting deeper 🔍 #Day11 #Python #CodingJourney #LearningInPublic

Day 5/100 – Python Today I worked on swapping two numbers in Python. At first, it looked like a simple problem, but it actually helped me understand an important concept — how to move data without losing it. I explored two approaches: 🔹 Using a third variable (temporary storage) 🔹 Swapping directly using Python’s tuple unpacking What I learned today: ✔ Importance of preserving data before overwriting ✔ How execution order affects the result ✔ Cleaner and more efficient ways to write code in Python ✔ Understanding how Python handles multiple assignments internally #100DaysOfCode #Python #DSA #ProblemSolving #LearningInPublic

Curious about how nested conditions behave in Python? Take a look at this simple yet tricky snippet: marks = 78 passed = True At first glance, it seems straightforward—but the nested if-else structure requires careful consideration. Key takeaway: Understanding how indentation and conditional flow work in Python is crucial. The else here is tied to the inner if passed: condition—not the outer one. Always trace conditions step by step to avoid logical mistakes. What do you think the output is? Drop your answer below. #Python #CodingChallenge #Programming #Developer #LearnToCode #TechCareers

🔁 For Loop vs While Loop in Python — Simple Difference Understanding loops is one of the first steps in mastering Python. Here's a quick comparison: ✅ For Loop Used when the number of iterations is known. Example: Iterating through a list, string, or range. for i in range(5): print(i) ✅ While Loop Used when the number of iterations is unknown and depends on a condition. i = 0 while i < 5: print(i) i += 1 📌 Key Difference for loop → iterate over sequence while loop → run until condition becomes False 💡 Tip: Use for loops for cleaner and readable code when working with collections. Use while loops when waiting for a condition (like user input). #Python #Coding #Programming #PythonBasics #LearnPython

Today I explored Python Dunder Methods with practical coding examples. ✔Object creation using init ✔ Custom behavior using str and len ✔ Operator overloading (add, sub) ✔ Comparison methods (eq, gt) Understanding these concepts helped me see how Python works internally #Python #BackendDevelopment #CodingJourney #LearnInPublic

Day 8/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 11: Container With Most Water 💡 Problem: Find two lines that form a container holding the maximum water. 🧠 What I learned: • Two-pointer technique • Optimizing brute force (O(n²) → O(n)) • Smart decision making using minimum height 💻 Example: Input: [1,8,6,2,5,4,8,3,7] Output: 49 🚀 Insight: By moving the pointer with smaller height, we can efficiently maximize the area. Learning to think smarter, not harder 💪 #30DaysOfCode #Python #LeetCode #TwoPointers #CodingChallenge #ProblemSolving