main.py
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Examples
6
BudiBadu
Online Python SymPy Compiler
SymPy is a pure-Python computer algebra system covering symbolic calculus, algebra, number theory, matrices, discrete math, plotting, and more. It powers everything from education tools to research workflows thanks to its readable API and ability to export LaTeX, code, or numerical lambdas.[^1]
This compiler bundles SymPy directly in the browser so you can explore symbolic math without installing dependencies or configuring kernels. Upload files and folders to work with local mathematical data, differentiate expressions, solve equations, simplify identities, experiment with series, or generate code for numerical backends before bringing the logic into notebooks or services. This online compiler is completely free and requires no installation.
Included examples highlight core workflows: symbolic derivatives, equation solving, simplification, matrix computations, series expansion, and lambdify/export helpers. Use them to prototype classroom activities, verify formulas, or share reproducible CAS snippets with teammates quickly.
Who Should Use This
- Students studying calculus, linear algebra, or discrete math
- Researchers manipulating symbolic expressions or analytic proofs
- Engineers generating closed-form solutions before numerical coding
- Educators preparing examples for lessons or documentation
- Anyone needing a quick CAS sandbox without local setup
Part of the BudiBadu Ecosystem
Specialized Online Python compiler powered by Pyodide WebAssembly. Run Python Library directly in your browser with zero setup.
Pyodide
WebAssembly
Monaco Editor
Python 3.13