Solving Longest Common Prefix Problem in Python

M𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗿𝗶𝘁𝗲 𝗣𝘆𝘁𝗵𝗼𝗻. 𝗩𝗲𝗿𝘆 𝗳𝗲𝘄 𝘄𝗿𝗶𝘁𝗲 𝗶𝘁 𝘄𝗲𝗹𝗹. That’s the difference between getting things done… and standing out. You don’t need more tutorials. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗯𝗲𝘁𝘁𝗲𝗿 𝗵𝗮𝗯𝗶𝘁𝘀. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟭𝟬 𝗣𝘆𝘁𝗵𝗼𝗻 𝘁𝗿𝗶𝗰𝗸𝘀 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝗸𝗲 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲: 1. 𝗟𝗶𝘀𝘁 𝗖𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝗼𝗻𝘀   Write less. Do more. 2. 𝗦𝘄𝗮𝗽 𝗩𝗮𝗿𝗶𝗮𝗯𝗹𝗲𝘀   No temp variable. Cleaner logic. 3. 𝗲𝗻𝘂𝗺𝗲𝗿𝗮𝘁𝗲()   Stop managing indexes manually. 4. 𝘇𝗶𝗽()   Handle multiple lists effortlessly. 5. 𝘀𝗲𝘁()   Remove duplicates in one line. 6. 𝗱𝗶𝗰𝘁.𝗴𝗲𝘁()   Avoid crashes. Use defaults. 7. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿𝘀   Handle large data without memory issues. 8. 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀   Smarter data handling (Counter, defaultdict, deque) 9. 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀   Keep your projects clean. 10. 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀   Let Python do the heavy lifting. 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗴𝗮𝗺𝗲: Readable code > clever code Consistency > shortcuts Projects > theory 𝗞𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁: Python doesn’t reward complexity. 𝗜𝘁 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 𝗰𝗹𝗮𝗿𝗶𝘁𝘆. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗜’𝗹𝗹 𝘀𝗵𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘁𝗶𝗽𝘀 #Python #PythonTips #Programming #Coding #SoftwareDevelopment #Developers #TechCareers

The Secret to Clean Code: Snake Case 🐍 Have you heard about snake variable 🐍? If you are diving into Python or working within a team of developers, you’ve likely seen variable names like 'user_login_count' or 'total_price_usd' This specific style—where words are written in lowercase and joined by underscores is known as snake_case. Why does it even matter? In the world of coding, readability is just as important as functionality. Here is why snake case is a standard for many: Readability—It mimics natural spacing, making it easy for the human eye to distinguish separate words at a glance. Context— Instead of vague abbreviations like ua, using "user_age" tells anyone reading your code exactly what data is being stored. Consistency— Following naming conventions ensures that a large codebase remains professional and maintainable, whether you're working solo or with a global team. Writing clean code is a form of professional etiquette. It respects the time of your future self and your colleagues. What’s your preferred naming convention? Let’s discuss below! 👇 #Python #CleanCode #ProgrammingTips #DataScience #WebDevelopment #TechCommunity

🐍 Exploring NumPy Operations in Python Today I practiced different operations on NumPy arrays, which are essential for Data Science and Machine Learning 🚀 🔹 Created arrays using np.arange() 🔹 Performed element-wise operations: ✔ Addition (arr + arr) ✔ Subtraction (arr - arr) ✔ Multiplication (arr * arr) ✔ Division (arr / arr) 🔹 Applied scalar operations: ✔ arr + 4, arr * 3 🔹 Explored mathematical functions: ✔ Square root (np.sqrt) ✔ Exponential (np.exp) ✔ Trigonometric functions (np.sin) 🔹 Found useful statistics: ✔ Maximum (np.max) ✔ Minimum (np.min) ⚠️ Important Observation: Dividing by zero gives inf or nan values Example: 1/0 → inf, 0/0 → nan 💡 Key Takeaway: NumPy allows fast and efficient element-wise operations, but handling edge cases like division by zero is very important in real-world data. 📌 Full code available here: 👉 https://lnkd.in/dCMhYQey #Python #NumPy #DataScience #MachineLearning #100DaysOfCode #LearningJourney

GitHub moves faster than we can "git pull." I spent the morning auditing this week's Top 12 trending repositories so you don't have to drown in your "Star" list. The Weekly Signal: Dominant Language: Python is leading the pack with 6 out of 12 top repos. AI agents, foundation models, and dev tooling are all written in Python this week. Top Pick: hermes-agent by NousResearch gained 14,811 stars this week. A modular AI agent framework that supports multi-LLM workflows out of the box. Rising Star: openscreen by siddharthvaddem pulled 13,938 stars. An open-source Screen Studio alternative. Free product demos with no watermarks. I've mapped out the technical specs, practical use cases, and star growth for all 12 repos into a clean dashboard. Which of these are you cloning today? Let's talk architecture in the comments. #OpenSource #GitHub #AI #Python #DeveloperTools #TechTrends

If your job has repetitive tasks… You should NOT be doing them manually anymore. Python can automate: → Reports → Emails → Data cleaning → Even entire workflows This guide shows you exactly how to go from beginner → real automation projects. Comment “START,” and we’ll send you the roadmap 📩 #AutomationTools #PythonForData #Upskill #TechCareers #LearnToCode #CareerGrowth

Best for: Posting late at night or early morning to show your dedication. Headline: While the world sleeps, the code keeps building. 🌙 It’s been a high-energy day with 83+ profile visits. People are asking: "What are you building in that 2024 repo?" The answer is simple: The future of my workflow. I am documenting my journey of turning raw Python scripts into scalable, automated solutions. From smart profiling to interactive Plotly dashboards, I’m building a library that works for me, so I don't have to work twice. If you haven’t seen it yet, come take a look and see why the tech community is stopping by my profile. ⭐ Support the work on GitHub: 🔗 https://lnkd.in/dGvJaB7a #DataScience #Hustle #Coding #Python #Automation #Shafiq73 #GitHub

🚀 Jumpstart your 𝗣𝘆𝘁𝗵𝗼𝗻 journey with these fundamental: - Understand variables and data types—build the foundation. - Master control flow: `if`, `else`, `elif`, loops. - Dive into functions: reusable, readable code. - Explore data structures: lists, dictionaries, sets. - Handle errors gracefully with exception handling. - Read/write files to manage data persistence. - Get comfortable with modules and libraries. - Practice debugging—every coder's best skill. Ready to level up? Write, test, iterate—your Python prowess awaits!

Best for: Posting late at night or early morning to show your dedication. Headline: While the world sleeps, the code keeps building. 🌙 It’s been a high-energy day with 83+ profile visits. People are asking: "What are you building in that 2024 repo?" The answer is simple: The future of my workflow. I am documenting my journey of turning raw Python scripts into scalable, automated solutions. From smart profiling to interactive Plotly dashboards, I’m building a library that works for me, so I don't have to work twice. If you haven’t seen it yet, come take a look and see why the tech community is stopping by my profile. ⭐ Support the work on GitHub: 🔗 https://lnkd.in/dGvJaB7a #DataScience #Hustle #Coding #Python #Automation #Shafiq73 #GitHub

🚀 Solved Two Sum Problem with Optimal Approach | LeetCode Today I solved the classic Two Sum problem and focused on writing an efficient solution rather than just making it work. 💡 Problem: Given an array of integers, return indices of two numbers such that they add up to a target. ⚡ Approach: Instead of using the brute force method, I used a HashMap (dictionary) to store elements and their indices. 👉 Logic: Traverse the array once For each element, calculate: difference = target - current value Check if difference already exists in the HashMap If yes → return indices instantly 🔥 Time & Space Complexity: ⏱ Time Complexity: O(n) 📦 Space Complexity: O(n) 🚀 Optimization: Improved from brute force O(n²) → O(n) using HashMap lookup 🏆 Result: ✔️ Accepted (All test cases passed) ✔️ Runtime: 0 ms (Beats 100%) 📌 Key Learnings: HashMap enables constant time lookup Thinking in terms of complement simplifies problems Optimization is key in coding interviews 💻 Tech Stack: Python | Data Structures & Algorithms 📈 Consistency + Practice = Growth 🚀 #leetcode #dsa #python #algorithms #coding #programming #softwareengineering #100DaysOfCode #tech

Best for: Posting late at night or early morning to show your dedication. Headline: While the world sleeps, the code keeps building. 🌙 It’s been a high-energy day with 83+ profile visits. People are asking: "What are you building in that 2024 repo?" The answer is simple: The future of my workflow. I am documenting my journey of turning raw Python scripts into scalable, automated solutions. From smart profiling to interactive Plotly dashboards, I’m building a library that works for me, so I don't have to work twice. If you haven’t seen it yet, come take a look and see why the tech community is stopping by my profile. ⭐ Support the work on GitHub: 🔗 https://lnkd.in/dGvJaB7a #DataScience #Hustle #Coding #Python #Automation #Shafiq73 #GitHub