Pushing zeros to the end of an array in O(n) time and O(1) space

LeetCode #105 – Construct Binary Tree from Preorder and Inorder Traversal | Python Implementation I implemented a recursive divide-and-conquer approach that exploits traversal properties to rebuild the tree. Core Insight: Preorder gives root order, inorder gives left/right boundaries. Their intersection uniquely determines tree structure. Each recursive call isolates the correct subsequences for subtree reconstruction. Time: O(n²) due to slicing and index lookup | Space: O(n) recursion depth + slices #LeetCode #DataStructures #Python #BinaryTree #DivideAndConquer #TreeReconstruction #CodingInterview #SoftwareEngineering

Title: Explaining Python Recursion! 🐍🚀 I’m thrilled to share a quick video where I explain Recursion and Factorials in Python! There’s a special kind of excitement in not just learning a complex concept, but being able to break it down and explain it clearly to others. I am constantly working to sharpen both my technical skills and my communication. I’d love to hear your thoughts in the comments—your feedback will help me improve every single day as I continue this journey! #PythonLearning #Recursion #CodingJourney #LearningInPublic #CommunicationSkills #WomenInTech

🚀 The Fundamentals of 'for' Loops (Python) A 'for' loop in Python is used to iterate over a sequence (like a list, tuple, or string). It executes a block of code for each element in the sequence. The loop variable takes on the value of each element in turn. 'for' loops are essential for processing collections of data, performing repetitive tasks, and implementing algorithms that require iterating through data structures. Understanding 'for' loops is crucial for efficient data manipulation. #Python #PythonDev #DataScience #WebDev #professional #career #development

Python is the base of growth in today’s tech world. From data analysis to AI, automation to web development—everything starts with Python. If you want to grow faster, start with the foundation. Start with Python. #Python #CareerGrowth #TechSkills #AI #DataScience #day71

When working with different data types, Python requires explicit conversion. Here, numbers and boolean values are converted into strings before combining them. This ensures that all parts are of the same type during concatenation. Answer: A) 52False #Python #TypeCasting #MathModule #PythonBasics #LearningInPublic #ProblemSolving #CodingPractice

Python Remains Top Choice for Rapid Prototyping Despite Performance Concerns 📌 Python still rules rapid prototyping - despite sluggish performance in pure execution. Engineers prioritize speed and flexibility over raw speed, using Python to validate ideas quickly, then offloading heavy tasks to C++ or NumPy. The debate? Not a language war - but a strategy shift: prototype fast, optimize later. 🔗 Read more: https://lnkd.in/dHjyzKaT #Python #Prototyping #Performancetradeoff

Learn in Public — Day 15 Today I studied Selection Sort and implemented it in Python. 🔹 Key Idea: Selection Sort repeatedly finds the minimum element from the unsorted part of the array and places it at the correct position in the sorted part. 🔹 How it works: 1️⃣ Start from the first element 2️⃣ Find the smallest element in the remaining array 3️⃣ Swap it with the current position 4️⃣ Repeat for the rest of the array 🔹 Complexity: Time Complexity: O(n²) Space Complexity: O(1) (in-place sorting) Even though Selection Sort is not efficient for large datasets, it’s a great algorithm for understanding how sorting works internally. Every small step builds the foundation for mastering algorithms. #LearnInPublic #100DaysOfCode #Python #Algorithms #DataStructures

This problem demonstrates how dictionary comprehensions can create key–value pairs dynamically. It highlights how values can be generated from existing data while building a dictionary in a compact and readable way. A very useful technique when transforming datasets. THE ANSWER IS: B #Python #DictionaryComprehension #PythonChallenge #DataStructures #BuildInPublic

AI video editing with Python 🐍 is here 🎬 https://lnkd.in/ed3Nqf-t This tutorial shows how to automatically turn long videos into short, captioned clips in a few lines of code Simple setup. Real results. ⚡ #Python #AI #VideoEditing #Automation

Sorting is the pre-step that makes fast searches possible. In Python, use sorted() when you want a new list back, and .sort() when you want to sort the original list in place. Bonus: reverse=True flips to descending order—perfect prep for binary search and many other algorithms.#Python #Sorting #Algorithms #CodingTips