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31 changes: 31 additions & 0 deletions courseScheduler.py
Original file line number Diff line number Diff line change
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# Time Complexity : O(V + E)
# Space Complexity : O(V + E)
# Did this code successfully run on Leetcode : Yes
# Any problem you faced while coding this : No
# Approach: Build a graph using adjacency list and track indegree of each course.
# Use BFS to process courses with indegree 0 and check if all courses can be completed



class Solution:
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
graph = [[] for _ in range(numCourses)]
indegree = [0] * numCourses

for course, prereq in prerequisites:
graph[prereq].append(course)
indegree[course] += 1

q = deque([c for c in range(numCourses) if indegree[c] == 0])
taken = 0

while q:
cur = q.popleft()
taken += 1

for nxt in graph[cur]:
indegree[nxt] -= 1
if indegree[nxt] == 0:
q.append(nxt)

return taken == numCourses
34 changes: 34 additions & 0 deletions levelOrder.py
Original file line number Diff line number Diff line change
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# Time Complexity : O(n)
# Space Complexity : O(n)
# Did this code successfully run on Leetcode : Yes
# Any problem you faced while coding this : No
# Approach: Use a queue to perform BFS traversal of the tree level by level.
# For each level, process all nodes currently in the queue, collect their values, and push their children for the next level.

# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]:
q = deque()
res = []
q.append(root)

while len(q):
dup_list = []
for i in range(len(q)):
node = q.popleft()
if node is not None:
dup_list.append(node.val)
if node is not None:
q.append(node.left)
if node is not None:
q.append(node.right)
if dup_list:
res.append(dup_list)
return res