Generate Synthetic Clickstream Data with Python Function

##### Scenario The analytics team needs to generate synthetic click-stream records to test a new reporting pipeline before real traffic arrives. ##### Question Write a Python function simulate_clickstream(num_users: int, days: int) that returns a Pandas DataFrame of simulated events with columns [user_id, event_ts, page, clicked]. Events should be timestamped within the past <days> days, each user should visit 1–10 random pages per day, and click probability is 0.15. ##### Hints Use numpy.random for page counts and probabilities; build a list of dicts, then convert to DataFrame.