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NumPy is the core array-computing library for Python. Its homogeneous n-dimensional ndarray, broadcasting rules, vectorized universal functions, indexing tools, random generators, linear algebra, and Fourier transforms form the numerical foundation of much of the Python scientific ecosystem.
CompileBytes runs Python 3.14.6 with NumPy 2.5.1 in an isolated hosted scientific runtime; pandas 3.0.3 and Matplotlib 3.11.1 are also preinstalled. CPU and memory limits make the editor best for focused examples rather than large datasets. Network access, user file uploads, persistence, and extra package installation are unavailable.
main.py is the entry point for each run.
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import numpy as np
values = np.arange(1, 13).reshape(3, 4)
print(values)
print("shape:", values.shape)import numpy as np
rows = np.array([[1], [2], [3]])
columns = np.array([10, 20, 30, 40])
print(rows + columns)import numpy as np
values = np.array([4, 8, 15, 16, 23, 42])
print(values[values % 2 == 0])import numpy as np
a = np.array([[3., 1.], [1., 2.]])
b = np.array([9., 8.])
print(np.linalg.solve(a, b))import numpy as np
rng = np.random.default_rng(42)
values = rng.normal(loc=10, scale=2, size=1000)
print(values.mean().round(3), values.std().round(3))The editor uses Monaco, the engine behind VS Code, with language-aware editing tools and familiar keyboard controls.
Type or paste your code into the editor, then click Run (or press Ctrl/Cmd + Enter) to execute it.
Output streams into the console panel, including runtime errors, exit status, and execution time.
Nothing to install and no account to create — code runs in an isolated hosted runtime.
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Syntax highlighting, with native compiler and runtime errors shown in the console
Bracket matching, auto-indentation, code folding, and a minimap
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Built on Monaco — the same editor that powers VS Code
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NumPy is one of 46 single-file compiler scratchpads. Each run submits only main.py; local sibling-file imports are not enabled.
Linked-project languages (23): Node.js, TypeScript, Deno, Python, C, Go, Dart, Swift, Rust, Ruby, PHP, Java, Kotlin, C++, C#, Nim, Crystal, Haxe, Zig, Scala, D, Bun, Objective-C.
Single-file scratchpads (46): Matplotlib, NumPy, pandas, Haskell, Clojure, Perl, Lua, Tcl, jq, Raku, Elixir, Bash, Zsh, Nushell, R, Assembly (NASM), Julia, Octave, Groovy, PowerShell, Visual Basic .NET, Odin, Pascal, Lisp, Erlang, CoffeeScript, COBOL, BASIC, V, Racket, OCaml, Prolog, AWK, Emacs Lisp, Emojicode, Forth, F#, Fortran, Assembly (NASM64), Solidity, Mojo, Ada, WASM (WAT), Gleam, Shell Script (sh), Scheme.
Download file exports the active NumPy source file.