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DSA Pythonprogramming~30 mins

Non Overlapping Intervals Minimum Removal in DSA Python - Build from Scratch

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Non Overlapping Intervals Minimum Removal
📖 Scenario: You are organizing a conference with multiple talks scheduled as time intervals. Some talks overlap, and you want to remove the minimum number of talks so that no two talks overlap.
🎯 Goal: Build a program that finds the minimum number of intervals to remove to make the rest non-overlapping.
📋 What You'll Learn
Create a list of intervals with exact values
Add a variable to count removals
Implement logic to find minimum removals for non-overlapping intervals
Print the minimum number of intervals to remove
💡 Why This Matters
🌍 Real World
Scheduling talks, meetings, or tasks without conflicts is common in event planning and project management.
💼 Career
Understanding interval scheduling and greedy algorithms is useful for software engineers working on calendar apps, resource allocation, and optimization problems.
Progress0 / 4 steps
1
Create the list of intervals
Create a list called intervals with these exact intervals: [1, 3], [2, 4], [3, 5], [6, 7], [8, 10], [9, 11]
DSA Python
Hint

Use a list of lists to represent intervals.

2
Add a variable to count removals
Add a variable called removals and set it to 0 to count how many intervals we remove
DSA Python
Hint

Initialize removals to zero before processing intervals.

3
Implement logic to find minimum removals
Sort intervals by their end time using intervals.sort(key=lambda x: x[1]). Then create a variable prev_end set to the end of the first interval. Use a for loop with variable i from 1 to len(intervals) to check if the start of the current interval is less than prev_end. If yes, increment removals. Otherwise, update prev_end to the current interval's end.
DSA Python
Hint

Sort intervals by end time to greedily keep intervals that finish earliest.

4
Print the minimum number of intervals to remove
Print the value of removals using print(removals)
DSA Python
Hint

The output is the minimum number of intervals to remove to avoid overlaps.