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LeetCode 1: Two Sum Made Easy for Complete Beginners - Python Tutorial

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🔢 Leetcode 1: Two Sum Made Easy - Python Tutorial 🐍
Welcome to this step-by-step Python tutorial where we break down Leetcode Problem #1: Two Sum in a simple and beginner-friendly way! Whether you're just starting your coding journey or brushing up on your algorithm skills for interviews, this video is designed to help you fully understand and solve this classic problem with confidence.
In this video, you'll learn:
✅ What the Two Sum problem is all about
✅ How to approach it using brute force and optimized methods
✅ The logic behind using hash maps (dictionaries) for O(n) time complexity
✅ How to write clean, efficient Python code
📌 Problem Statement (Leetcode 1 - Two Sum):
Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to the target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
🧠 Key Concepts Covered:
Arrays and iteration
Dictionary data structures
Time and space complexity analysis
Problem-solving patterns in coding interviews
👨💻 Code Walkthrough Includes:
Brute-force approach with nested loops (O(n²) time)
Optimized approach using a hash map (O(n) time)
Edge case discussion and constraints
Clean and readable Python implementation
🚀 Why You Should Watch:
This is a must-know problem frequently asked in top tech company interviews like Google, Amazon, Meta, and Microsoft. Mastering this problem can help you recognize patterns used in many other coding questions.
🔗 Helpful Links:
👉 GitHub Code (if available): [Insert Link]
👍 Like this video if it helped you and subscribe for more coding tutorials, Leetcode walkthroughs, and interview prep!
💬 Have questions or suggestions? Drop them in the comments below. I respond to everyone!
🔔 Don’t forget to hit the bell icon so you never miss an update.
#Leetcode #TwoSum #Python #CodingInterview #LeetcodeSolutions #PythonProgramming #TechInterviews #Algorithms #DataStructures #SoftwareEngineering #LearnToCode #HashMap #CodingChallenge #DSA #LeetcodePython
Welcome to this step-by-step Python tutorial where we break down Leetcode Problem #1: Two Sum in a simple and beginner-friendly way! Whether you're just starting your coding journey or brushing up on your algorithm skills for interviews, this video is designed to help you fully understand and solve this classic problem with confidence.
In this video, you'll learn:
✅ What the Two Sum problem is all about
✅ How to approach it using brute force and optimized methods
✅ The logic behind using hash maps (dictionaries) for O(n) time complexity
✅ How to write clean, efficient Python code
📌 Problem Statement (Leetcode 1 - Two Sum):
Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to the target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
🧠 Key Concepts Covered:
Arrays and iteration
Dictionary data structures
Time and space complexity analysis
Problem-solving patterns in coding interviews
👨💻 Code Walkthrough Includes:
Brute-force approach with nested loops (O(n²) time)
Optimized approach using a hash map (O(n) time)
Edge case discussion and constraints
Clean and readable Python implementation
🚀 Why You Should Watch:
This is a must-know problem frequently asked in top tech company interviews like Google, Amazon, Meta, and Microsoft. Mastering this problem can help you recognize patterns used in many other coding questions.
🔗 Helpful Links:
👉 GitHub Code (if available): [Insert Link]
👍 Like this video if it helped you and subscribe for more coding tutorials, Leetcode walkthroughs, and interview prep!
💬 Have questions or suggestions? Drop them in the comments below. I respond to everyone!
🔔 Don’t forget to hit the bell icon so you never miss an update.
#Leetcode #TwoSum #Python #CodingInterview #LeetcodeSolutions #PythonProgramming #TechInterviews #Algorithms #DataStructures #SoftwareEngineering #LearnToCode #HashMap #CodingChallenge #DSA #LeetcodePython