🐍 Ready to master advanced #Python interoperability in #InterSystemsIRIS? This article dives into IoP Part 3—covering DTL, #JSON schema validation, and debugging techniques for building production-ready integrations 👇 https://lnkd.in/dbgYrsmG Read now and take your #interoperability skills to the next level!
Mastering Interoperability in InterSystems IRIS with Python
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🚀 Tackled the Mean of Range in Array problem today using prefix sums for efficient query handling. Optimized to answer each query in constant time, ensuring platform‑ready performance and hidden test case compliance. #Geekstreak2026 #Geekstreak60 #GFG #Coding #Python #DSA #ProblemSolving #GeeksforGeeks #POTD Problem Link : https://lnkd.in/gE8qbfG6 Solution Link : https://lnkd.in/grPTmTvj
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🚀 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
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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
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Built this in an afternoon with Python Real-time hand tracking with neon AR overlays. No fancy hardware, just a webcam and a few lines of code. Tools MediaPipe (Google) OpenCV Python Just a small concept on computer vision #python #opencv #computervision
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Day 39/100 – #100DaysOfCode 🚀 Solved LeetCode #2215 – Find the Difference of Two Arrays (Python). Today I practiced set operations to efficiently find distinct elements between two arrays. Approach: 1) Convert both arrays into sets to remove duplicates. 2) Find elements present in nums1 but not in nums2 using set difference. 3) Find elements present in nums2 but not in nums1. 4) Convert both results back to lists. 5) Return the final list of differences. Time Complexity: O(n + m) Space Complexity: O(n + m) Understanding how set operations simplify comparison problems 💪 #LeetCode #Python #DSA #Sets #Arrays #ProblemSolving #100DaysOfCode
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If you're working with shared data in multithreading, always think about synchronization (like locks), not just logic. I’ve explained this step-by-step with a live example. What’s one concurrency bug that surprised you the most? #Python #Multithreading #Concurrency #RaceCondition #BackendEngineering #SoftwareDevelopment
Why Your Python Threads Give Wrong Output | Race Condition Explained Simply
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🚀 Day 16 of My Python + DSA Journey Took the intersection concept one step further today 👇 ✅ Intersection of Two Arrays II (#350) 💡 Intersection of Arrays II Find common elements including duplicates 🔍 Approach: Used hashmap → counted frequency in one array and matched while reducing count ⏱ O(n + m) time | O(n) space 🔥 What I learned today: • Handling duplicates changes the problem logic • Frequency maps are powerful for counting problems • Small variations can require different approaches Leveling up by understanding problem variations ⚡ #Day16 #LeetCode #Python #DSA #CodingJourney #100DaysOfCode
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