Coding & AI Resources

5⃣ Free DSA resources to crack coding interview 👉 GeekforGeeks https://www.geeksforgeeks.org/the-ultimate-beginners-guide-for-dsa/amp/ 👉 Leetcode https://leetcode.com/study-plan/data-structure/ 👉 Hackerrank https://www.hackerrank.com/domains/data-structures 👉 Coding Interview Preparations https://t.me/crackingthecodinginterview/112 👉 FreeCodeCamp https://www.freecodecamp.org/learn/javascript-algorithms-and-data-structures/ Join @free4unow_backup for more free courses ENJOY LEARNING 👍👍

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Numpy Cheatsheet 📱

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Guys, Big Announcement! We’ve officially crossed 4 Lakh followers on this journey together — and it’s time to step up now! ❤️ I’m launching a *Coding Interview Prep Series* — designed for everyone from beginners to those polishing their skills for FAANG-level interviews. This will be a structured, step-by-step journey — with short explanations, real coding examples, and mini-challenges after every topic to build real muscle memory. Here’s what’s coming in the next few weeks: Week 1: The Very Basics - What is an Algorithm? - What is Data Structure? - Understanding Time Complexity (Big O Notation - made simple!) - Basic Math for Coding Interviews - Problem Solving Approach (How to break down a question) Week 2: Arrays & Strings — Your Building Blocks - Introduction to Arrays and Strings - Common Operations (Insert, Delete, Search) - Two Pointer Techniques (Easy to Medium problems) - Sliding Window Problems (Optimization techniques) - String Manipulation Tricks for Interviews Week 3: Hashing & Recursion - HashMaps and HashSets (Power tools for coders!) - Solving Problems using Hashing - Introduction to Recursion - Base Case and Recursive Case (Explained like a 5-year-old) - Classic Recursion Problems Week 4: Linked Lists, Stacks & Queues - Singly vs Doubly Linked List - Stack Operations and Problems (Valid Parentheses, Min Stack) - Queue and Deque Concepts (with real examples) - When to Use Stack vs Queue in Interviews Week 5: Trees & Graphs Essentials - Binary Trees and BST Basics - Tree Traversals (Inorder, Preorder, Postorder) - Graph Representations (Adjacency List, Matrix) - Breadth-First Search (BFS) and Depth-First Search (DFS) explained simply Week 6: Sorting, Searching & Interview Patterns - Core Sorting Algorithms (Selection, Bubble, Insertion) - Advanced Sorting (Merge Sort, Quick Sort) - Binary Search Patterns (Find First, Last Occurrence, etc.) - Mastering Interview Patterns (Two Sum, Three Sum, Subarray Sum, etc.) Week 7: Dynamic Programming & Advanced Problem Solving - What is Dynamic Programming (DP)? - Top-Down vs Bottom-Up Approach - Memoization and Tabulation Explained - Classic DP Problems (Fibonacci, 0/1 Knapsack, Longest Subsequence) Week 8: Real-World Mock Interviews - Solving Medium to Hard Problems - Tackling FAANG-level Interview Questions - Tips to Handle Pressure in Coding Rounds - Building the Right Mindset for Success React with ❤️ if you're ready for this new coding series You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

How can you stand out as a software engineer? Learn the skills that others avoid: • Learn unit testing. • Learn CI/CD pipelines. • Learn automation tools. • Learn performance tuning. • Learn security best practices. • Learn effective branching strategies. • Learn cloud infrastructure management. Most fall short here.

You don’t need another course. You need more action. Stop learning, start doing.

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Six Steps to Defining a Function 1. What should your function do? Type a couple of example calls. 2. Pick a meaningful name (often a verb or verb phrase): What is a short answer to "What does your function do"? 3. Decide how many parameters the function takes and any return values 4. Describe what your function does and any parameters and return values in the docstring 5. Write the body of the function 6. Test your function. Think about edge cases.