Python Skills Assessment Kit

5 minutes

Stop wasting engineering time on unqualified candidates. Quickly evaluate Python developers with real-world problems that reveal true ability.

This ready-to-use assessment pack helps you evaluate candidates across backend, DevOps, API, and data science roles with real-world, production-style challenges. 

Each of the five assessments is time-boxed and comes with built-in scoring, so you can quickly identify strong candidates while keeping your engineering team focused on building, not grading. 

Use this to screen out unqualified candidates early, saving engineering time while maintaining technical hiring quality.


Assessment 1: Web Framework Fundamentals

Assessment

Web Framework Fundamentals

Target

Backend Engineers (Junior-Mid)

Time Limit

30 mins

Task

Build a basic FastAPI app with a single endpoint that accepts a POST request with JSON payload and returns a validated response.

Evaluation Criteria

  • Correct FastAPI syntax

  • Use of Pydantic for input validation

  • HTTP status codes and error handling

  • Bonus: Unit test included

Scoring (out of 10)

  • Functionality: 4

  • Clean code/style: 2

  • Validation: 2

  • Bonus tests: 2


Assessment 2: DevOps Automation

Assessment

DevOps Automation

Target

DevOps/Site Reliability Engineers

Time Limit

45 mins

Task

Write a Python script to:

  • Deploy a Docker container

  • Run a health check on a specified port

  • Log the output and shut down container on completion

Evaluation Criteria

  • Docker SDK or subprocess use

  • Script robustness

  • Logging and exception handling

Bonus

Add config via argparse

Scoring (out of 15)

  • Automation works: 5

  • Logging & errors: 3

  • Script structure: 4

  • Bonus CLI config: 3


Assessment 3: Data Science Pipeline

Assessment

Data Science Pipeline

Target

Data Scientists

Time Limit

60 mins

Task

Given a CSV of sales data, clean the dataset, generate summary stats, and build a linear regression model predicting revenue.

Tools Allowed

Pandas, Scikit-learn

Evaluation Criteria

  • Data cleaning strategy

  • Feature selection and model choice

  • Code structure and documentation

  • Output interpretation

Scoring (out of 20)

  • Cleaning: 5

  • Modeling: 6

  • Clarity & output: 5

  • Bonus visualizations: 4


Assessment 4: API Design Exercise

Assessment

API Design Exercise

Target

Mid-Senior Backend Devs

Time Limit

45 mins

Task

Design a RESTful API spec (no code) for a messaging platform. Include:

  • Endpoint structure

  • Authentication/authorization

  • Payload and response formats

  • Error handling

Evaluation Criteria

  • REST compliance

  • Clear separation of concerns

  • Secure/authentication design

  • Error codes and edge case coverage

Scoring (out of 10)

  • Completeness: 3

  • REST principles: 3

  • Security: 2

  • Thoughtfulness: 2


Assessment 5: Real-World Debugging

Assessment

Real-World Debugging

Target

All levels

Time Limit

20 mins

Task

Provide a broken Python script and ask the candidate to:

  • Identify 3 bugs

  • Fix them

  • Add a test to prevent regressions

Scoring (out of 10)

  • Bug identification: 4

  • Fixes: 4

  • Test case quality: 2


How to Use This Kit

This kit is designed to make technical screening faster, fairer, and more consistent. 

You can use one or more assessments as pre-onsite screens to quickly identify strong candidates. The built-in scoring templates let you grade efficiently, or you can automate scoring using internal scripts or grading assistants. For a deeper evaluation, combine these assessments with async coding exercises or take-home projects from your interview framework.

Looking to improve your assessments? 

If you’d like tailored advice or want to learn more about attracting the right candidates, reach out to Joshua Smithhe’ll be happy to help.