TARUN SACHDEVA’s Post

Day 16 of #100DaysOfLeetCode Problem: 448. Find All Numbers Disappeared in an Array Category: Arrays / Hashing / Set Operations Today’s challenge was about finding which numbers are missing from an array containing elements in the range 1 to n. This problem is a great example of how using a set can simplify lookups and help identify missing values efficiently. 🧠 Key Learnings: Converted the input array into a set to achieve constant-time membership checks. Iterated from 1 to n to identify which numbers don’t appear in the original list. Strengthened my understanding of how set-based lookups drastically reduce time complexity for search operations. Reinforced concepts of hashing, membership testing, and search optimization. 🎯 Takeaway: Simple tools like sets can make a huge difference — turning a potentially slow search into a clean and efficient solution. #LeetCode #100DaysOfCode #ProblemSolving #CodingJourney #Arrays #Hashing #Python #AIEngineer #Consistency

Hello, connections 👋 Welcome to Day 9 of my #30DaysOfPython journey! 🚀 Today, I explored a new concept in Python — Tuples! 🐍 Tuples are used to store multiple values in a single variable, just like lists, but with one major difference: 👉 Tuples are immutable, which means their values cannot be changed after creation. Python provides several useful operations for tuples such as: 🔹 Accessing elements using indexes 🔹 Slicing to get a portion of the tuple 🔹 Finding the length using len() I also learned two important tuple methods: 🔹 count() → returns how many times a value appears 🔹 index() → returns the position of a value Tuples are faster, more secure, and perfect for storing fixed data. Learning tuples helps in writing cleaner, safer, and more efficient programs! 💡💻 LogicWhile #Day9 #Python #Tuples #LearnPython #PythonBasics #CodingJourney #PythonProgramming #TechLearning #ImmutableData #PythonForBeginners #CodeEveryday #Developers #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode 🚀

🚀 𝐃𝐚𝐭𝐚 𝐓𝐢𝐩 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐚𝐲: Clean Your #Data in #Python A great model always starts with… great data! 🧽 Here are 3 essential commands to prepare your datasets in #Python: 🔹 df.dropna() – removes rows containing missing values 🔹 df.fillna(0) – replaces missing values with zero (though other strategies may be more appropriate depending on the dataset) 🔹 df.duplicated() – identifies duplicate rows in your dataset These simple yet crucial steps make all the difference before any analysis or modeling. 💪 What about you — what are your favorite tips for cleaning or preparing data? #Python #Pandas #DataCleaning #DataScience #MachineLearning #Tips

🌟 #Day13 of My #50DaysofPython Learning Journey 🌟 Today, I explored an interesting concept — Anagram Checker using Python 🧠💻 An Anagram is when two words contain the same letters but in a different order. For example: 👉 “Listen” and “Silent” 👉 “Heart” and “Earth” 👉 “Race” and “Care”  💡 How It Works First, the program removes spaces and converts both strings to lowercase. Then, it sorts the letters of each word and compares them. If both sorted results are the same → they’re anagrams! ✅ Example: Input → “Listen”, “Silent” Output → Yes! The strings are anagrams. Every day, I’m realizing how simple logic can solve real-world problems effectively. #Python #50DaysOfCode #CodingJourney #ProgrammingBasics #LearningEveryday

📒 Python Learning Log: Mastering Iterators with enumerate() and zip() Continuing my learning journey with #DataCamp's "Python Toolbox" course. Today's module, "Playing with Iterators," was a fantastic deep dive into two incredibly useful functions: enumerate() and zip(). Here’s what I learned: 🔹 enumerate(): This function is a game-changer for for loops. Instead of manually creating and incrementing an index counter (like i = 0 and i += 1), enumerate() elegantly provides both the index and the value at the same time. 🔹 zip(): As the name suggests, this function "zips" together multiple iterables (like lists). It pairs up elements from each list based on their position, allowing you to loop over them in parallel. It's satisfying to see how these built-in tools can simplify complex tasks. On to the next module! #Python #DataScience #LearningJournal

LeetCode POTD 🫠: Description: You are given an integer array target. You have an integer array initial of the same size as target with all elements initially zeros. In one operation you can choose any subarray from initial and increment each value by one. Return the minimum number of operations to form a target array from initial. The test cases are generated so that the answer fits in a 32-bit integer. Here's my solution: https://lnkd.in/gUKAaRQG #Python #DSA #Leetcode #DailyChallenge

🔹 Day 1 of 30 – LeetCode Challenge: Preorder Traversal of Binary Tree Today, I practiced a fundamental Tree Traversal problem using Python. The task was to return the preorder traversal of a binary tree’s nodes (Root → Left → Right). 🧩 Problem Statement: Given the root of a binary tree, return the preorder traversal of its nodes’ values. Example: Input: root = [1, null, 2, 3] Output: [1, 2, 3] 💡 Concept: In preorder traversal, we visit: Root node Left subtree Right subtree This can be solved either recursively or iteratively using a stack. I implemented the recursive approach, which is straightforward and elegant. 🕒 Complexity: Time Complexity: O(n) Space Complexity: O(h), where h = height of the tree 🏆 Result: ✅ All test cases passed 🚀 Runtime: 0 ms (Beats 100%) 💾 Memory: 12.41 MB (Beats 62.16%) 💬 Learning: Understanding tree traversal is a must for mastering recursion and data structures. This problem helped me revise depth-first traversal concepts efficiently. #30DaysOfCode #LeetCode #Python #DataStructures #Algorithms #BinaryTree #Recursion #MTech #CodingChallenge #PreorderTraversal

🧠 Ever found yourself adding too many parameters to your Python functions and wondering — “Isn’t there an easier way?” I recently added a new video to my “Python for Generative AI” series where I talk about something simple yet super useful — default arguments. It’s one of those features that saves time, keeps your code neat, and makes your functions a lot more flexible. If you’re exploring Python or building GenAI tools, this concept really helps you write cleaner, smarter functions without extra effort. 🎥 Watch the full video here: https://lnkd.in/gDKUvGY7 Would love to know — what’s one Python feature you wish you learned earlier? Drop it in the comments 👇 #Python #GenerativeAI #PythonProgramming #AICommunity #MachineLearning #DataScience #AIProjects #CodingTips #Automation #TechLearning #DeepLearning #SoftwareDevelopment #PythonForAI #LearnPython #DevCommunity #AIEngineer #AIExplained #CodingLife #AIEducation #AIInnovation #PythonFunctions #FunctionArguments #CodeSmarter #AIForEveryone #AIInAction #ProgrammingLife #PythonTutorial #PunyakeerthiBL #pkaitechworld

🚀 Day 18 of my #100DaysOfCode Journey – Exploring Python Modules 🐍 Today’s focus was on Python Modules, both built-in and custom! Here’s what I practiced: ✅ Standard Library (math module) – Calculated square root, factorial, and rounded pi value. ✅ Random Module – Generated random choices and shuffled lists dynamically. ✅ Custom Module – Created my own calculator.py with add() and sub() functions, then imported it into the main file. 💡 Key Takeaway: “Modules make Python more powerful, organized, and reusable — write once, use everywhere!” #Python #100DaysOfCode #Modules #LearningJourney #SoftwareDevelopment #CodingEveryday #Math #Random #CustomModules #CodeNewbie

🚀 Day 18 of my #100DaysOfCode Journey – Exploring Python Modules 🐍 Today’s focus was on Python Modules, both built-in and custom! Here’s what I practiced: ✅ Standard Library (math module) – Calculated square root, factorial, and rounded pi value. ✅ Random Module – Generated random choices and shuffled lists dynamically. ✅ Custom Module – Created my own calculator.py with add() and sub() functions, then imported it into the main file. 💡 Key Takeaway: “Modules make Python more powerful, organized, and reusable — write once, use everywhere!” #Python #100DaysOfCode #Modules #LearningJourney #SoftwareDevelopment #CodingEveryday #Math #Random #CustomModules #CodeNewbie