Scientific ComputingBeginner

NumPy Online Compiler

Run NumPy arrays and matrix operations online with no install and no signup. Free in-browser NumPy compiler with pandas and Matplotlib pre-loaded.

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How it works

NumPy Online Compiler

This example covers the most common NumPy operations: array creation, statistics, matrix manipulation, and linear algebra.

What's happening

  • np.array(...) — creates 1D and 2D arrays from Python lists
  • arr.mean(), arr.std(), arr.sum() — element-wise statistical functions
  • matrix.T — transposes the matrix (rows become columns)
  • np.linalg.solve(a, b) — solves the linear system Ax = b

    • Key NumPy concepts

    OperationCode
    Create arraynp.array([1, 2, 3])
    Array statsarr.mean(), arr.std()
    Reshapearr.reshape(2, 5)
    Transposematrix.T
    Solve Ax=bnp.linalg.solve(a, b)
    NumPy, pandas, and Matplotlib are all pre-loaded in PythonHere — no installation required.

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