CPython Chained Assignment Pitfall: Shared Bytecode Instances

LeetCode #102 – Binary Tree Level Order Traversal | Python Implementation I implemented an iterative BFS approach using a queue to collect nodes level by level. Core Insight: The len(q) snapshot before the inner loop prevents mixing levels. New children added during iteration don't affect the current level's processing count, ensuring clean level separation. Time: O(n) | Space: O(w) where w = maximum tree width #LeetCode #DataStructures #Python #BinaryTree #BFS #LevelOrderTraversal #CodingInterview #SoftwareEngineering

I recently implemented the K-Medoids clustering algorithm from scratch in Python and visualized the clusters using graphs to understand how the algorithm groups data points. #MachineLearning #PythonProjects https://lnkd.in/gczybNGr

LeetCode #104 – Maximum Depth of Binary Tree | Python Implementation I implemented a recursive DFS approach that calculates tree depth by taking the maximum of left and right subtree depths plus one for the current node. Core Insight: Depth calculation decomposes naturally into subproblems. Each node's depth is determined by its deepest child, making recursion the cleanest solution with minimal code. Time: O(n) | Space: O(h) where h = tree height (recursion stack) #LeetCode #DataStructures #Python #BinaryTree #Recursion #DFS #CodingInterview #SoftwareEngineering

LeetCode #98 – Validate Binary Search Tree | Python Implementation I implemented a recursive DFS approach with boundary tracking to validate BST properties. Core Insight: BST validation requires tracking allowable ranges, not just comparing immediate children. Each recursive call narrows the valid interval, ensuring global ordering throughout the entire subtree. Time: O(n) | Space: O(h) where h = tree height (recursion stack) #LeetCode #DataStructures #Python #BinarySearchTree #Recursion #DFS #CodingInterview #SoftwareEngineering

Chronological isochrone maps focus on distance rather than time, created using Python and SQL, and visualized in Jupyter Notebooks for testing with various locations #isochrones https://lnkd.in/d9vDNUy2

Day 3 of #60DaysOfMiniProjects Built a QR Code Generator using Python This program takes user input (text or URL) and generates a QR code image automatically. Concepts I worked with: • External libraries (qrcode) • User input handling • Image file generation • Automation with Python From calculator to QR generator — leveling up step by step Consistency builds confidence. #Python #MiniProjects #QRCode #BuildInPublic #CodingJourney #CSE #DeveloperGrowth

Poll Insight: Which data type does not allow duplicate values? The correct answer is Set ✅ A Set stores only unique elements, meaning duplicate values are automatically removed. That’s why sets are useful when you want to keep only distinct values in Python. 👉 Example use cases include removing duplicates from a list or storing unique items. #Python #LearnPython #CodingQuiz #ProgrammingBasics

Dictionaries are the first data structure most Python developers reach for. They're also the one that hides the most bugs. I built a free interactive course, Python Data Containers, that shows you exactly where dicts break and what to use instead. You'll work through NamedTuple, dataclass, and Pydantic side by side, running every example in the browser. By the end, you'll know which container to pick for your use case and why. 🚀 Try the course: https://bit.ly/4rCfJWy #Python #DataScience #InteractiveLearning #Pydantic #dataclass

Created a GUI Weather Application in Python using Tkinter and the OpenWeatherMap API. It allows users to enter a city and view real-time weather information with a simple interface. #PythonProjects #APIIntegration #internpe

Built a simple rule-based chatbot in Python, using Google colab notebook that simulates automated client responses using menu options and conditional logic. Small project, but seeing the conversation actually work was satisfying. Still improving it, what feature would you add next? #python #Automation #Techlearning #coding