Leetcode with dani

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🌟 Daily Algorithm Challenge! 🌟 Starting today, I’ll be posting a new algorithm question every day to help us prepare for A2SV in November! 💻✨ 🗓 Challenge yourself and share your solutions! Let’s sharpen our skills together. Ready to dive in? Stay tuned for the first question! 🚀

Opportunity to Join A2SV Generation 5: August Conversion Applications Now Open A2SV is offering a limited number of seats to students who possess potential and dedication. This is your chance to join us and be part of our Generation 5! While our main intake period is in November, marking the start of the academic year, we are pleased to announce that we have a few additional seats available for talented students like yourself. 📅 Application registration closes on Sunday, August 18, 2024, at 11:59 PM EAT. 🎓 Eligibility: Open to all current students from Addis Ababa University (AAU), Addis Ababa Science and Technology University (AASTU), and Adama Science and Technology University (ASTU), regardless of batch or department. ✨ Requirements: ❄️ Familiarity with Python ❄️ Experience with interview preparation platforms like LeetCode and Codeforces ❄️ Completion of a minimum of 300 problems across LeetCode and Codeforces ❄️ At least 80 active days on LeetCode and Codeforces ❄️ Covered the following topics: Topics Covered 🤖 Selection Process: ❄️ First Round Filtering: Applicants will undergo an initial screening process ❄️ Technical and Behavioral Interviews: Selected candidates from the first round will proceed to technical and behavioral interviews to assess their skills and suitability for the program 📋 Apply now to seize this opportunity and embark on a journey with A2SV!

🌟 Welcome to LeetCode with Dani! 🌟 🔍 Today’s Topic: Data Structures! Hey LeetCoders! 🚀 Let’s dive into the world of data structures—the backbone of efficient coding! 💡 What is a Data Structure? Think of data structures as the organizational tools for your code. They help us store, manage, and manipulate data effectively. Choosing the right data structure can significantly enhance your algorithm's performance! — 🔗 Why Should You Care? Understanding data structures is crucial for solving LeetCode problems. They’re not just theoretical concepts; they’re practical tools that can help you ace your coding interviews! Here are some key applications: - 📊 Efficient Searching & Sorting - 🛠 Building Compilers - 🤖 AI Algorithms - 🗄 Database Management - 🎨 Graphics Rendering - 🔄 Simulations & Modeling — ✨ Challenge of the Day: Here are 2 common coding interview questions related to data structures: 1. Reverse a Linked List: Given the head of a singly linked list, reverse the list and return the reversed list. - *Tip*: Think about using pointers! 2. Valid Parentheses: Given a string containing just the characters '(', ')', '', '', '[' and ']', determine if the input string is valid. An input string is valid if: - Open brackets are closed by the same type of brackets. - Open brackets are closed in the correct order. Try solving these problems and share your solutions and thoughts in the chat! Let’s learn together! 💬 Happy coding! 💻🔥

Code-Forces Question For u Certainly! Here's a brief and engaging summary for your Telegram channel: --- 🚀 Problem B: Red and Blue Challenge 🎯 Objective: Help Monocarp restore a sequence from two colored subsequences and maximize the prefix sum. 🔢 Details: - You have two sequences: Red and Blue. - Combine them to restore the original sequence that maximizes the prefix sum \( f(a) \). ⏳ Constraints: - Time Limit: 2 seconds per test - Memory Limit: 512 MB 📋 Input: - Number of test cases: t - For each test case: - Length of Red sequence (n) and the sequence itself - Length of Blue sequence (m) and the sequence itself 📈 Output: - The maximum possible value of \( f(a) \) for each test case. 💡 Example: Input:

4
4
6 -5 7 -3
3
2 3 -4
2
1 1
4
10 -3 2 2
5
-1 -2 -3 -4 -5
5
-1 -2 -3 -4 -5
1
0
1
0

Output:

13
13
0
0

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#Q18 #leet_codeQ18 Easy 1480 . Given an array nums. We define a running sum of an array as runningSum[i] = sum(nums[0]…nums[i]). Return the running sum of nums. Example 1: Input: nums = [1,2,3,4] Output: [1,3,6,10] Explanation: Running sum is obtained as follows: [1, 1+2, 1+2+3, 1+2+3+4]. Example 2: Input: nums = [1,1,1,1,1] Output: [1,2,3,4,5] Explanation: Running sum is obtained as follows: [1, 1+1, 1+1+1, 1+1+1+1, 1+1+1+1+1]. Example 3: Input: nums = [3,1,2,10,1] Output: [3,4,6,16,17] Constraints: 1 <= nums.length <= 1000 -10^6 <= nums[i] <= 10^6