Recently, I've been experimenting how LLMs can interact with external context through a CLI-based assistant. Using LLaMa 3 and Python, I built a simple terminal-based system focusing on how models can work with real-world data through a concept Model Context Protocol (MCP). This helped me understand how LLMs become more useful when connected with tools and external context, rather than just generating text.

🚀 Day 4 of #LeetCode Challenge 🔍 Problem: Reverse Integer 💡 Approach: Reversed the integer digit by digit using modulo (%) and division (/). Extract last digit using % 10 Build reversed number using rev * 10 + digit Handle negative numbers using abs() Checked for 32-bit overflow condition 🧠 Key Concept: Digit manipulation + overflow handling without using extra space. 🔥 #Day4 #LeetCode #Python #DSA #CodingJourney #Consistency

Okay #python people – I have a question: We have a PyCharm stat that only ~5% of users ever manually edit a dependency file (like setup.py, requirements.txt, pyproject.toml). We have other ways to manage dependencies in Python, but it seems *wild* to me that 95% of users never touch their dependency list. So ... how are you all doing it?

🚀 Day 2 — Python Journey Continuing with Python, today I focused on integer operations. 📌 What I learned: - Integer declaration - Addition, subtraction, multiplication - Division and modulus (remainder) - Power operation - Operator precedence (which operation runs first) 💡 What stood out: Understanding operator precedence is really important — the same expression can give different results if you don’t know the order of execution. Also, modulus (%) is more useful than it looks (especially for problems and logic building). Trying to stay consistent and build strong basics step by step. #Day2 #Python #CodingJourney #Consistency #LearnInPublic

Day 108/200 LeetCode Challenge Solved Interleaving String today using Dynamic Programming (1D DP Optimization) in Python. Given three strings s1, s2, and s3, determine whether s3 is formed by an Dynamic Programming becomes even more powerful when combined with space optimization techniques. Small improvements can make a big impact. Consistency matters more than speed — showing up every day is the real win. #200DaysChallenge #LeetCode #Python #CodingJourney #ProblemSolving #TechGrowth

🚀 Day 11 of My Python + DSA Journey Today’s problem was all about greedy approach👇 ✅ Jump Game (#55) 💡 Jump Game Check if you can reach the last index 🔍 Approach: Tracked maximum reachable index → if current index exceeds it, return False ⏱ O(n) time | O(1) space 🔥 What I learned today: • Greedy approach can simplify complex problems • Tracking max reach avoids unnecessary checks • Early exit conditions improve efficiency Turning logic into faster decisions ⚡ #Day11 #LeetCode #Python #DSA #CodingJourney #100DaysOfCode

🗂️ Created a JPG File Organizer to automate file management using Python! This script moves .jpg files from one folder to another using file handling concepts like os and shutil. Exploring automation and making tasks easier with code 💡 #Python #Automation #CodeAlpha #Projects #FileHandling #DeveloperLife #TechSkills

Day 46/100 – #100DaysOfCode 🚀 Solved LeetCode #2733 – Neither Minimum nor Maximum (Python). Today I practiced sorting and simple array logic to find any element that is neither the minimum nor the maximum in the array. Approach: 1) Sort the array. 2) Check the length of the array. 3) If the size is less than or equal to 2, return -1 (no valid element exists). 4) Otherwise, return the second element as it will be neither min nor max. Time Complexity: O(n log n) Space Complexity: O(1) Understanding how sorting simplifies boundary-based problems 💪 #LeetCode #Python #DSA #Arrays #Sorting #ProblemSolving #100DaysOfCode

🚀 Day 13 of My Python + DSA Journey Today’s problem focused on frequency counting 👇 ✅ Majority Element (#169) 💡 Majority Element Find the element that appears more than n/2 times 🔍 Approach: Used hashmap → counted frequency and returned element exceeding n/2 ⏱ O(n) time | O(n) space 🔥 What I learned today: • Hashmaps make counting problems simple • Frequency-based logic is very common in arrays • Early exit improves efficiency Getting faster at recognizing patterns ⚡ #Day13 #LeetCode #Python #DSA #CodingJourney #100DaysOfCode

Learn how to leverage pre-trained models and fine-tune them for your specific use case with transfer learning in Python, including code examples and tutorials https://lnkd.in/gqxUgj_2 #TransferLearningWithPython Read the full article https://lnkd.in/gqxUgj_2