Crack your AI/ML interviews,
one problem at a time.
A LeetCode-style playground for the skills that actually show up in machine-learning interviews. Write real NumPy and Pandas code, run it against hidden tests, and get instant verdicts.
Real code execution
Your solution runs in a sandboxed Python judge against hidden test cases — just like the real thing.
Interview-focused
Curated from the classic NumPy-100 and Pandas puzzle sets — the exact array & dataframe skills interviewers probe.
Track your progress
Sign in to save your code per problem and watch your solved count climb across every section.
Run & Submit
Iterate with Run against sample tests and a live console, then Submit for the full graded run.
Practice tracks
Start with the live tracks today — more on the way.
Practice coding for AI, ML & data science interviews
TensorPrep is a free, LeetCode-style platform built specifically for AI and machine learning interview preparation. Instead of generic algorithm puzzles, you practice the libraries you actually use on the job and get tested on in interviews: NumPy for numerical computing, Pandas for data manipulation, and PyTorch for tensors and deep learning.
Every problem runs in a sandboxed Python judge: write your solution in the in-browser editor, hit Run to test against sample cases with live console output, then Submit to grade it against the full hidden test suite — exactly like a real coding interview. It's a focused way to build fluency with NumPy practice problems, Pandas exercises, and PyTorch coding practice before your next data science or ML engineering interview.
Frequently asked questions
What is TensorPrep?
TensorPrep is a free, LeetCode-style platform to practice NumPy, Pandas, and PyTorch coding problems for AI, machine learning, and data science interviews. You write real Python code in your browser, run it against hidden tests, and get an instant pass/fail verdict.
Is TensorPrep good for machine learning interview preparation?
Yes. The problems are curated from the classic NumPy-100 and 100-Pandas-Puzzles sets plus hand-crafted PyTorch tensor exercises — the exact array, dataframe, and tensor skills that show up in ML and data science coding interviews.
How many practice problems are there?
There are 200+ problems today: 100 NumPy, 55 Pandas, and 45 PyTorch, spanning easy, medium, and hard difficulty. TensorFlow, Matplotlib, and MySQL sections are coming soon.
Is it free?
Yes, practicing on TensorPrep is free. Create an account to save your code per problem and track which problems you've solved.
Do I need to install anything?
No. Everything runs in the browser — an in-browser code editor and a sandboxed Python judge handle NumPy, Pandas, and PyTorch with no local setup.