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python_programming_for_beginners_learn_the_basics_of_python_programming.pdf

๐†๐ซ๐š๐ฉ๐ก ๐€๐ฅ๐ฅ ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ ๐๐ซ๐ž๐ฉ๐š๐ซ๐š๐ญ๐ข๐จ๐ง ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ-> ๐”๐ง๐ข๐จ๐ง ๐…๐ข๐ง๐ ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ - Number of Provinces - Redundant Connection - Most Stones Removed with Same Row or Columns - Number of Operations to Make Network Connected - Satisfiability of Equality Equations - Accounts Merge ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ-> ๐ƒ๐ž๐ฉ๐ญ๐ก ๐…๐ข๐ซ๐ฌ๐ญ ๐’๐ž๐š๐ซ๐œ๐ก (๐ƒ๐…๐’) ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ ๐“๐ฒ๐ฉ๐ž ๐Ÿ -> DFS from boundary: - Surrounded Regions - Number of Enclaves ๐“๐ฒ๐ฉ๐ž ๐Ÿ- Shortest Time: - Time Needed to Inform All Employees ๐“๐ฒ๐ฉ๐ž ๐Ÿ‘ - DFS from each unvisited node / Island - Number of Closed Islands - Number of Islands - Keys and Rooms - Max Area of Island - Flood Fill ๐“๐ฒ๐ฉ๐ž ๐Ÿ’ - Hash/DFS: - Employee Importance - Find the Town Judge ๐“๐ฒ๐ฉ๐ž ๐Ÿ“ - Cycle Find: - Find Eventual Safe States ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ -> ๐๐ซ๐ž๐š๐๐ญ๐ก ๐…๐ข๐ซ๐ฌ๐ญ ๐’๐ž๐š๐ซ๐œ๐ก(๐๐…๐’) ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ ๐“๐ฒ๐ฉ๐ž ๐Ÿ -> BFS for shortest path / Graph in Matrix - 01 Matrix - As Far from Land as Possible - Rotting Oranges - Shortest Path in Binary Matrix ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ -> ๐†๐ซ๐š๐ฉ๐ก ๐œ๐จ๐ฅ๐จ๐ซ๐ข๐ง๐ /๐๐ข๐ฉ๐š๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ - Possible Bipartition - Is Graph Bipartite? ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ -> ๐“๐จ๐ฉ๐จ๐ฅ๐จ๐ ๐ข๐œ๐š๐ฅ ๐’๐จ๐ซ๐ญ ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ - Course Schedule - Course Schedule II - Kahn's Algorithm ๐๐š๐ญ๐ญ๐ž๐ซ๐ง๐ฌ -> ๐…๐ข๐ง๐ ๐’๐ก๐จ๐ซ๐ญ๐ž๐ฌ๐ญ ๐๐š๐ญ๐ก ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ - Network Delay Time - Cheapest Flights Within K Stops - Find the City With the Smallest Number of Neighbors at a Threshold Distance

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