NumPy Playground

Perform matrix operations with pure TypeScript - no dependencies

Matrix A3 - 3

Matrix B3 - 3

Result

Select an operation and click Execute

Operations

Quick Reference

Input format: comma or space separated numbers, one row per line.

Matrix A - B: cols of A must equal rows of B.

Det / Inverse: matrix must be square (n - n).

Tip: Use the Sample buttons to load example matrices.

What is NumPy Playground?

NumPy Playground is a free online tool for developers and students — handy for coding, testing APIs and speeding up daily development workflows. It runs fully in your browser: fast, private and free forever, with no account needed.

How to use NumPy Playground?

Step 1: Use the live controls in the tool above — it runs on this page. Step 2: Add your data or settings as the screen prompts. Step 3: Run the tool, then copy or download the result. Everything happens locally in your browser, so large inputs stay private.

Frequently Asked Questions — NumPy Playground

Is NumPy Playground free to use?

Yes — NumPy Playground is a free online tool by DSWallah. No signup, no install, no limits for normal use. It runs entirely in your browser.

Do I need to install anything for NumPy Playground?

No. NumPy Playground works online in Chrome, Edge, Firefox or Safari on mobile and desktop. Your data never leaves your device.

Who should use NumPy Playground?

NumPy Playground is built for developers and students — useful for coding, testing APIs and speeding up daily development workflows. DSWallah students use it daily in our Python Course and Data Science Course batches.

Learn the skill behind the tool: Python Course in Lucknow · Data Science Course

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About NumPy Playground

Arrays par lightning-fast operations — mean, sum, reshape, broadcast. DSWallah NumPy Playground me data science ki neev practice karo. Free.

How to use (3 steps)

  1. Array banao.
  2. Operations lagao (mean/sum/slice).
  3. Output turant dekho.

FAQs

NumPy kyun seekhein?

Pandas/ML sab isi par khada hai — data career ki ABC.

Ye free hai?

Haan, fully free.

Seekhne ka order?

Python lists → NumPy → Pandas. Learn track follow karo.

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