Remove Duplicates from List in Python

LeetCode #21 – Merge Two Sorted Lists | Python Implementation I implemented an iterative two-pointer merge approach for combining two sorted linked lists. A dummy node serves as the anchor, and a tail pointer builds the merged list by always selecting the smaller current node from either list. After one list is exhausted, the tail directly attaches the remainder of the non-empty list since it's already sorted. This avoids unnecessary node-by-node traversal and keeps the solution clean. This pattern is core to merge sort implementations, database query result merging, and distributed log aggregation systems where sorted streams must be combined efficiently. Key Takeaway: Using a dummy node eliminates edge case handling for the first node insertion, simplifying the logic significantly. The direct attachment of remaining nodes after one list is exhausted is an optimization that leverages the sorted property, avoiding redundant comparisons. Time: O(n + m) where n, m are list lengths | Space: O(1) #LeetCode #DataStructures #Python #LinkedList #TwoPointers #CodingInterview #ProblemSolving #SoftwareEngineering

When logic gets "Weird" (in a good way!) 🐍 I just tackled the Python If-Else challenge on HackerRank. It’s a classic problem that tests your ability to handle multiple overlapping conditions: Is the number odd? (Weird) Is it even and between 2–5? (Not Weird) Is it even and between 6–20? (Weird) Is it even and over 20? (Not Weird) It sounds like a tongue-twister, but it’s a perfect exercise in using elif and range() efficiently. It’s a great reminder that software engineering is less about writing code and more about translating complex rules into clean, executable logic. 🧠 Onward to more Python fundamentals! 🚀 Question:https://lnkd.in/g_zVAAve solution:https://lnkd.in/g6CGvfX7 #Python #HackerRank #CodingLogic #SoftwareDevelopment #ContinuousLearning

𝐏𝐲𝐭𝐡𝐨𝐧 𝐭𝐢𝐩𝐬 𝐟𝐫𝐨𝐦 𝐫𝐞𝐚𝐥‑𝐰𝐨𝐫𝐥𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: After building a bunch of Python apps, here are 2 things I wish every beginner did from day one. ▪️𝐔𝐬𝐞 𝐚 𝐮𝐭𝐢𝐥𝐬.𝐩𝐲 𝐟𝐨𝐫 𝐜𝐨𝐦𝐦𝐨𝐧 𝐬𝐭𝐮𝐟𝐟 Don’t copy‑paste the same code everywhere. Keep your reusable functions in a utils.py and import them when needed. ▪️𝐋𝐨𝐠 𝐲𝐨𝐮𝐫 𝐞𝐫𝐫𝐨𝐫𝐬 𝐩𝐫𝐨𝐩𝐞𝐫𝐥𝐲 Skip empty except blocks. Set up a simple logger.py that writes errors to a log file so you always know what broke and where. #Python #SoftwareEngineering #CleanCode #ProgrammingTips

Tuples might look simple… but they’re powerful! 👀✨ If you’re working with fixed data that shouldn’t change, tuples are your best friend 💡 ✔️ Ordered ✔️ Immutable ✔️ Supports heterogeneous data Understanding CRUD on tuples helps you clearly see why immutability matters in Python 🐍 Save this post for quick revision & follow for more Python concepts explained visually 🚀 #PythonProgramming #LearnPython #CodingJourney #SoftwareDevelopment #TechCareer

Python Tip — Tuples: Small Feature, Big Signal Most developers see tuples as “lists you can’t modify.” That’s surface-level thinking. Tuples are about immutability and intent. When you use a tuple, you’re telling other developers: “This data should not change.” They’re: - Faster than lists - Hashable (usable as dictionary keys) - Safer for fixed data - Perfect for returning multiple values Use lists for collections that evolve. Use tuples for data that represents a fixed structure. In Python, the right data structure isn’t just technical, it communicates design. FOLOW FOR MORE PYTHON TIPS & INSIGHTS #Python #DataStructures #CleanCode #SoftwareEngineering #ProgrammingTips

Somebody at Canonical started a series of interviews to the maintainers of kwown/less known open-source projects for their Youtube channel. As a daily user of coverage.py and strong fan of metric-driven unit testing in general, I can't be happier of this. I filed a bug report/feature request for them once as well, which has been partially integrated in the codebase. "Ned Batchelder (nedbat), creator and long-time maintainer of coverage.py, joins Push to Talk | Meet the Maintainers to share his path into programming and open source and the real story behind one of Python’s most popular testing tools. We talk about the journey to coverage.py, the turning points that shaped it, and why the measurement of the library is only 94%." #python #softwaredevelopment #unittesting https://lnkd.in/djvneQ7M

🚀 Levelling up Python with match! One of the most exciting additions in Python 3.10 is the match statement — a cleaner, more powerful alternative to long if...elif...else chains. ✨ Why it matters: Simplifies code readability Supports complex patterns (tuples, types, conditions) Uses _ as a wildcard for default cases Brings Python closer to the elegance of switch-case constructs in other languages For anyone working on decision-heavy logic, this is a game-changer. Cleaner code → fewer bugs → faster collaboration. 💡 Curious: Have you started using match in your projects yet? How does it compare to your old conditional workflows? #Python #CodingTips #SoftwareDevelopment #Python310 #CleanCode

Solved the "Valid Parentheses" problem today using Python. Instead of checking every combination, I used a Stack data structure  to track opening brackets and ensure they close in the correct order. Key Learnings: * Stack is very useful for matching problems * Clean logic improves efficiency * Consistent practice strengthens fundamentals GitHub: https://lnkd.in/gWGSyu9V Time Complexity: O(n) Sharing my implementation on GitHub. #Python #DSA #ProblemSolving #Coding #MachineLearning

Rembus Introduces Async-first RPC and Pub/Sub with Synchronous Python API 📌 Rembus introduces a lightweight, async-first messaging system for Python that seamlessly blends RPC and Pub/Sub with a simple synchronous API-perfect for edge and embedded applications. Built with CBOR for speed and DuckDB for persistent, ACID-compliant storage, it enables real-time DataFrame sharing and hierarchical topic routing, all without heavy infrastructure. 🔗 Read more: https://lnkd.in/dF9JHama #Rembus #Python #Rpc #Pubsub #Asyncfirst

🚀 Python Mini Project: Water Reminder (with Voice Alerts) I built a simple Water Reminder application using Python that helps users stay hydrated while working on their computers. The interesting part about this project is that the program does not just display a reminder message — it actually speaks the reminder using voice. So even if you are focused on work and not looking at the screen, the system will remind you to drink water. 🔧 Key Features Voice reminder to drink water Reminds at regular time intervals Runs continuously in the background Simple and lightweight Python script 💻 Tech Used Python pyttsx3 (Text-to-Speech library) Time module This project helped me practice Python automation, scheduling tasks, and using text-to-speech to build interactive programs. 🔗 GitHub Repository: https://lnkd.in/gYfKB7YY #Python #PythonProjects #Automation #CodingJourney #GitHub #BeginnerProjects