Dataford
Interview QuestionsInterview GuidesExperiencesMock InterviewsPricing
Get started
Cosine Similarity From Scratch
00:00
5 left

Cosine Similarity From Scratch

MediumPython

Problem

Write a function to calculate the cosine similarity between two high-dimensional vectors from scratch.

Use equal-length Python lists containing numeric values and return a floating-point similarity score between -1 and 1. If either vector has zero magnitude, return 0.0; do not use NumPy or another vector library.

Constraints

  • 1 <= len(vector_a) == len(vector_b) <= 1000
  • Each vector value is an integer or floating-point number
  • Values may be positive, negative, or zero
  • Return 0.0 when either vector has zero magnitude
  • Do not use NumPy or another vector-math library

Function Signature

def cosine_similarity(vector_a, vector_b):
Interviewer

Your question is Cosine Similarity From Scratch. 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
You need to log in / sign up to run or submit.Ln 2
Run your code to see test output here.