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Leetcode #1355: Activity Participants

In this guide, we solve Leetcode #1355 Activity Participants in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Table: Friends +---------------+---------+ | Column Name | Type | +---------------+---------+ | id | int | | name | varchar | | activity | varchar | +---------------+---------+ id is the id of the friend and the primary key for this table in SQL. name is the name of the friend.

Quick Facts

  • Difficulty: Medium
  • Premium: Yes
  • Tags: Database

Intuition

The task is relational in nature, which maps cleanly to DataFrame operations in Python.

By treating tables as DataFrames, joins and group-bys become concise and readable.

Approach

Load the inputs as DataFrames and apply the appropriate merge, filter, or group-by.

Select or rename the columns to match the required output.

Steps:

  • Load inputs as DataFrames.
  • Apply merge/groupby/filter operations.
  • Select the output columns.

Example

+---------------+---------+ | Column Name | Type | +---------------+---------+ | id | int | | name | varchar | | activity | varchar | +---------------+---------+ id is the id of the friend and the primary key for this table in SQL. name is the name of the friend. activity is the name of the activity which the friend takes part in.

Python Solution

import duckdb import pandas as pd def solution(friends: pd.DataFrame, activities: pd.DataFrame) -> pd.DataFrame: con = duckdb.connect() con.register("Friends", friends) con.register("Activities", activities) return con.execute("""WITH t AS ( SELECT activity, COUNT(1) AS cnt FROM Friends GROUP BY activity ) SELECT activity FROM t WHERE cnt > (SELECT MIN(cnt) FROM t) AND cnt < (SELECT MAX(cnt) FROM t);""").df()

Complexity

The time complexity is O(n log n) (typical). The space complexity is O(n).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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