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Leetcode 2071. Maximum Number of Tasks You Can Assign | Binary Search + Greedy + Deque | Python

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In this video, we break down Leetcode 2071: "Maximum Number of Tasks You Can Assign" using a powerful combination of Binary Search, Greedy Strategy, and Python's Deque.
🔍 Problem Summary: Given arrays of tasks and workers, assign as many tasks as possible using pills to temporarily boost workers' strength. We explore how to use binary search on the answer, simulate task assignments with two pointers and deque, and cover all edge cases.
💡 What You’ll Learn:
Binary search on answer technique
Efficient use of deque in simulations
Greedy + binary search combo
Optimizing with Python collections
Interview-level dry run and logic
🔥 Perfect for:
FAANG/Tech interview prep
Competitive programmers
Leetcode hard problem solvers
Python coders looking to improve
📌 Code Included & Fully Explained 🧠 Beginner-friendly breakdown + visual walkthrough 💬 Drop your questions or solutions in the comments!
👍 Like, 💬 Comment, 🔔 Subscribe for more Leetcode explanations with visuals and intuition!
#Leetcode2071 #BinarySearch #PythonCoding #LeetcodeHard #InterviewPrep #GreedyAlgorithm #DequePython
🧪 Tags
Leetcode 2071, Maximum Number of Tasks You Can Assign, Leetcode 2071 Python, Binary Search Python, Greedy Algorithm Leetcode, Deque in Python, Leetcode explained, Python code walkthrough, Python deque example, Coding interview prep, Leetcode 2025 prep, Leetcode dry run, Python binary search logic, Leetcode task assignment, Leetcode hard explained, Binary search on answer, Advanced Leetcode questions, Python interview questions, Competitive programming Python, Task scheduling Leetcode, Match workers to tasks, Python greedy strategy, Deque simulation Python, Pills and strength problem, Two pointer logic, Sorted array binary search, Leetcode walkthrough, Python optimization tricks, Python algorithm design, System design preparation, Leetcode skills test, Python fast code, Tech interview solutions, Python collections module, Python bisect explained, Efficient task assignment, FAANG preparation Leetcode, Leetcode preparation series, Dry run walkthrough, Python advanced code, Greedy + Binary Search, Daily Leetcode challenge
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🔍 Problem Summary: Given arrays of tasks and workers, assign as many tasks as possible using pills to temporarily boost workers' strength. We explore how to use binary search on the answer, simulate task assignments with two pointers and deque, and cover all edge cases.
💡 What You’ll Learn:
Binary search on answer technique
Efficient use of deque in simulations
Greedy + binary search combo
Optimizing with Python collections
Interview-level dry run and logic
🔥 Perfect for:
FAANG/Tech interview prep
Competitive programmers
Leetcode hard problem solvers
Python coders looking to improve
📌 Code Included & Fully Explained 🧠 Beginner-friendly breakdown + visual walkthrough 💬 Drop your questions or solutions in the comments!
👍 Like, 💬 Comment, 🔔 Subscribe for more Leetcode explanations with visuals and intuition!
#Leetcode2071 #BinarySearch #PythonCoding #LeetcodeHard #InterviewPrep #GreedyAlgorithm #DequePython
🧪 Tags
Leetcode 2071, Maximum Number of Tasks You Can Assign, Leetcode 2071 Python, Binary Search Python, Greedy Algorithm Leetcode, Deque in Python, Leetcode explained, Python code walkthrough, Python deque example, Coding interview prep, Leetcode 2025 prep, Leetcode dry run, Python binary search logic, Leetcode task assignment, Leetcode hard explained, Binary search on answer, Advanced Leetcode questions, Python interview questions, Competitive programming Python, Task scheduling Leetcode, Match workers to tasks, Python greedy strategy, Deque simulation Python, Pills and strength problem, Two pointer logic, Sorted array binary search, Leetcode walkthrough, Python optimization tricks, Python algorithm design, System design preparation, Leetcode skills test, Python fast code, Tech interview solutions, Python collections module, Python bisect explained, Efficient task assignment, FAANG preparation Leetcode, Leetcode preparation series, Dry run walkthrough, Python advanced code, Greedy + Binary Search, Daily Leetcode challenge
Keywords
Leetcode 2071
Maximum Number of Tasks You Can Assign
Leetcode 2071 Python
Leetcode hard problems
Binary Search Python
Greedy Algorithm Python
Deque in Python
Python deque example
Binary Search on answer
Leetcode greedy solution
Leetcode deque approach
Assign tasks to workers
Pills and strength problem
Coding interview prep
FAANG coding question
Python optimization
Python simulation problem
Advanced Leetcode solution
Two pointer technique
Leetcode binary search greedy
Python interview code
Competitive programming problem
Efficient Python code
Leetcode task assignment
Python Leetcode dry run
Leetcode dry run explained
Python binary search template
Binary search + greedy
Task assignment algorithm
Task worker matching
Leetcode 2025 prep
Python interview prep
Python collections usage
Task scheduling Python
Greedy coding questions
Python deque logic
Python two pointer
Python simulation logic
Python code explanation
Leetcode walkthrough
Python coding tutorial
Python efficient code
Python sorting logic
Task assignment problem
Greedy algorithm explained
Leetcode sliding window
Deque Python performance
Python binary search implementation
Deque interview question
Python interview-ready code
Binary search edge case
Binary search + simulation
Leetcode algorithm design
Greedy scheduling algorithm
Python logic breakdown
Dry run Python
Python with intuition
Match workers to tasks
Python function design
Python clean solution
Leetcode binary search explained
Deque problem solving
Python binary pattern
Python bisect vs deque
Leetcode optimal approach
Python greedy + binary
Leetcode code explanation
Leetcode optimal solution
Deque use in greedy
Leetcode real world logic
Python advanced algorithm
Python code for beginners
Leetcode with visuals
Dry run with example
Deque simulation strategy
FAANG level Python
Python edge case handling
Leetcode binary + greedy
Leetcode edge case dry run
Efficient task pairing
Deque pop strategy
Deque vs list Python
Leetcode Python mastery
Python deque simulation
Leetcode efficient approach
Python competitive coding
Leetcode brute force vs greedy
Python high performance
Optimal code Python
Coding logic walkthrough
Python for interviews
Leetcode job scheduler
Python logic tracing
Interview coding techniques
Python with deque usage
Greedy logic walkthrough
Python algorithm breakdown
Leetcode hard explained
Python binary greedy combo
Python with dry run
Interview friendly code
Python daily challenge
Python deque corner case
Python loop simulation
Deque task logic
Leetcode binary greedy merge
Greedy logic dry run
Python Leetcode code
Binary logic in Python
Python match algorithm
Python sorting strategy
Leetcode pattern problem
Python debug tutorial
Python dry run problem
Greedy + simulation combo
Leetcode pills optimization
Python visualized logic
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