Interview preparation

Python practice built around the job you do

100 original problems for 20 engineering roles — log analysis and Kubernetes for SREs, Boto3-style automation for cloud engineers, retrieval and resilient model gateways for AI engineers — graded against hidden tests in an isolated sandbox.

Choose your role Browse problems

Daily challenge · 2026-11-03

Scale features for a modelMedium

Solve it today to extend your streak and earn 20 bonus XP.

Engineering roles

Difficulty levels

Beginner20
Basic syntax, loops, strings, lists and dictionaries. One idea per problem.
5–10 min
Easy25
Functions, collections, parsing and straightforward scripting with a few edge cases.
10–15 min
Medium30
API integration against fakes, data processing, error handling, decorators and asyncio. Several cooperating parts.
15–25 min
Hard17
Concurrency, resilience patterns, performance constraints and production-style automation.
25–40 min
Expert8
Distributed-systems behaviour, resilient AI gateways, agent orchestration and scheduling — complete, working implementations.
45–60 min

Ways to practise

Guided practice: No timer. Hints, solutions, notes and as many runs as you like.
Timed assessment: A fixed set of questions against a server-side countdown. Unsubmitted work is finalised when time runs out.
Mock interview: Questions one at a time with structured feedback on correctness, quality, efficiency and testing.
Adaptive practice: Questions chosen from your recorded weak topics, with the reason for each choice.
Daily challenge: One curated question per day. Solve it to extend your streak.

Python practice built around the job you do

Engineering roles

Difficulty levels

Ways to practise

Start a session

Python practice built around the job you do

Engineering roles

Difficulty levels

Ways to practise

Start a session