> For the complete documentation index, see [llms.txt](https://chiragjain.gitbook.io/neetcode/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://chiragjain.gitbook.io/neetcode/703-kth-largest-element-in-a-stream/code.md).

# CODE

```python
class KthLargest:

    def __init__(self, k: int, nums: List[int]):
        self.nums = nums
        self.k = k
        heapq.heapify(self.nums)
        

    def add(self, val: int) -> int:
        heapq.heappush(self.nums, val)
        while len(self.nums) > self.k:
            heapq.heappop(self.nums)
        return self.nums[0]
        


# Your KthLargest object will be instantiated and called as such:
# obj = KthLargest(k, nums)
# param_1 = obj.add(val)
```