Dataford
Interview QuestionsInterview GuidesExperiencesCoaching
New
Pricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackCoaching1:1 coaching with people at your target companiesSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan
Merge Overlapping Sessions
00:00
5 left

Merge Overlapping Sessions

MediumPython

Problem

Implement a function to merge overlapping learning sessions given their start and end times.

Use def merge_learning_sessions(sessions):, where sessions is a list of [start, end] pairs. Return a new list of merged intervals sorted by start time. Sessions that overlap or touch, such as [1, 3] and [3, 5], must be merged. An empty input returns an empty list.

Constraints

  • 0 <= len(sessions) <= 1000
  • Each session contains exactly two integers, start and end
  • start <= end for every session
  • -10^9 <= start, end <= 10^9
  • The returned intervals must be sorted by start time

Function Signature

def merge_learning_sessions(sessions):
Interviewer

Your question is Merge Overlapping Sessions. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

You need to log in / sign up to run or submit.
CodePython 3
Sign up free to run your codeLog inLn 2
Run your code to see test output here.