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Symbolic and numerical mathematics with notebook interfaces

Work with multidimensional arrays and vectorized numerical operations in Python.

Notebook-based symbolic and numerical computation

Transform Python array functions with just-in-time compilation, automatic differentiation, and vectorization.

Build customer-facing integrations with managed authentication, API access, syncs, webhooks, and TypeScript functions.

Adjust CSS colours and calculate contrast with focused JavaScript functions.

Run JavaScript tests with built-in assertions and mocks for checking code behavior and dependency interactions.

Build composable Python command-line interfaces from decorated functions.

Build reactive web applications in Rust with client-side or server-side rendering.

A PowerShell framework for unit, integration, and environment tests with mocking and CI reports.

Subject-aware problem solving with worked steps

Numerical, symbolic and plotting tools for mathematical work

Linked mathematical views for algebra, geometry and graphs

Translate LaTeX into structured XML and web publications

Computational algebra and number-theory software

Formulas and notes arranged on a mathematical worksheet

Mathematical solvers alongside lessons and formulas

Editable calculations with automatic dependency updates

A focused math solver with examples and reference links

Symbolic, numerical and graphical mathematics tools

Engineering calculations documented in natural notation

Mathematical problem solving with displayed working

Interactive geometry software for constructing and changing mathematical figures.

Mathematical problems that reward programming solutions