Learn Python AI Agents with Microsoft Framework

Day 6 of #LearnInPublic Today I worked on the problem: First Non-Repeating Element in an Array. I implemented two approaches in Python: 1️⃣ Hash Map Approach (Using defaultdict) • Count frequency of each element • Traverse again to find the first element with frequency = 1 Time Complexity: O(n) Space Complexity: O(n) 2️⃣ Brute Force Approach • Compare every element with the rest of the array Time Complexity: O(n²) Space Complexity: O(1) Key takeaway: Using a hash map trades extra space for a significant improvement in time complexity. Small daily improvements compound over time. #Python #DataStructures #Algorithms #LearnInPublic #CodingJourney

🔁 Rotate Matrix by 90° — Clean In-Place Trick! Solved the classic Rotate Matrix by 90° problem using a simple observation: • Transpose the matrix • Reverse it column-wise This approach rotates the matrix in-place with O(n²) time and O(1) extra space. Sometimes the best solutions come from simple transformations on the matrix. 🚀 #DSA #ProblemSolving #Python #CodingInterview #Algorithms

Day 81 Heap patterns are starting to feel intuitive now. #Day81 🧩 973. K Closest Points to Origin Key idea: • Use a min heap • Calculate distance using squared values (no sqrt needed) • Push points into heap based on distance • Pop k closest elements What I liked about this problem: A small optimization (avoiding sqrt) makes it simpler and faster. These small tricks make a big difference. Consistency is turning patterns into instincts. #LeetCode #DSA #Python #Heap #PriorityQueue #LearningInPublic #Consistency

You can fit the most common Bayesian regression models in Python using a consistent syntax (similar to brms in R) using the bambi package. It utilizes PyMC to do the simulations. It's remarkably easy and straightforward to use - you just adjust the family name to the right model type. Here are a few examples. More instructions are available here: https://lnkd.in/eGSG3-Bk #statistics #datascience #analytics #rstats #python #peopleanalytics #technology #ai

𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 𝗶𝘀𝗻'𝘁 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 𝗮𝗻𝘆𝗺𝗼𝗿𝗲.  𝗟𝗹𝗮𝗺𝗮𝗜𝗻𝗱𝗲𝘅 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗥𝗔𝗚 𝗮𝗻𝘆𝗺𝗼𝗿𝗲. 2026 changed everything. Most developers haven't caught up. I put together the updated decision framework — which tool to use, when, and how the smartest teams are combining them in production. Swipe through 👉 Which stack are you running? 👇 #LangGraph #LlamaIndex #RAG #AIAgents #LLMOps #Python

Merge Intervals (LeetCode 56) - Medium Key Learnings: Sorting: By sorting intervals based on their start times, we can process them in a single pass (O(N)). Overlap Logic: Comparing the current_start with the previous_end time is the secret sauce to identifying overlaps. Space-Time Tradeoff: Sorting takes O(N log N) time, and we use O(N) space to store the results. #CodingJourney #LeetCode #Blind75 #SDEPreparation #SoftwareEngineering #Python #DataStructures

🚀 Today I Solved… A classic problem: Count pairs with sum < target using the two-pointer technique ⚡ 💡 Key idea: Sort the array Use left and right pointers If arr[left] + arr[right] < target 👉 Add right - left in one go (counts multiple pairs instantly!) 🔥 This simple trick reduces complexity from O(n²) ➝ O(n log n) Small optimization, big impact — that’s the power of patterns in DSA! #DSA #Coding #Python #ProblemSolving #InterviewPrep

#1 — Hardcoded / Magic Numbers It works. But where do 9, 5, and 32 come from? Part of the series: One Problem – Different Approaches Start here: https://lnkd.in/dU4kN-q8 #OneProblemDifferentApproaches  #CelsiusToFahrenheit  #Python #sedatçapar

Inside the exact prompt sent to Claude Opus 4.6: “Can you use any resources you want, including Python, to create a short ‘YouTube Poop’ video and render it with FFmpeg? Add a personal touch, it should capture what it feels like to be an LLM.” Credit: josephdviviano on X Want to learn more about AI? 👉🏻 https://shorturl.at/idMUk

The Basics of Strings Focus: String Properties & Indexing Day 3 was all about Strings. I thought I knew what a "word" was, but Python sees things a bit differently. 🧐 What clicked today: Case Sensitivity: Python is picky! Variable and variable are two different citizens. Slicing: String Methods: Indexing: Learning that counting starts at 0 was a bit of a brain-bender at first, but it makes so much sense now. Immutability: This was the big "Aha!" moment—knowing that once a string is created, you can’t just reach in and change a character. You have to build a new one. It’s these small details that make the difference between code that runs and code that crashes. 💻 #Strings #CodingJourney #PythonLearning #ContinuousGrowth #PythonDay3