Programming with MATLAB
Build, Test, and Scale Production-Ready Code
MATLAB is a high-level language and interactive development environment built for technical computing. Its matrix-based syntax and extensive library of prebuilt functions enable the implementation of algorithms for data analysis, modeling, and optimization. The environment includes integrated tools for developing, debugging, and testing that help you improve code correctness and performance. MATLAB also supports language interoperability with Python®, C/C++, and Java®, and it integrates with source control systems and continuous integration/continuous delivery (CI/CD) systems.
MATLAB is designed for engineers, scientists, educators, and students to support diverse workflows, from data exploration to the development of collaborative software projects. Whether you are solving problems with reusable functions or building domain-specific applications using MathWorks products, the platform provides a unified workspace for developing, testing, and sharing technical software.
Numerical Computing for Engineers
Write and visualize complex algorithms with vectorized, matrix-based syntax. Access thousands of prebuilt functions that accelerate algorithm development for math, optimization, and data preprocessing.
Interactive Development
Write and run code in an interactive development environment with a customizable desktop. Combine code and output in one executable document for idea exploration, rapid iteration, and outcome sharing.
Data Analysis and Visualization
Import, clean, analyze, and visualize data with built-in tools. Interactively plot and explore data, uncover insights, and share results, while MATLAB generates the code you need.
Debugging and Profiling
Find and fix logic errors faster with built-in debugging tools, set breakpoints, and use performance profilers to analyze and improve your code performance.
Language Interoperability
Integrate MATLAB with Python, C/C++, and Java for cross-language workflows. Call external code, share libraries, and exchange data to leverage existing codebases and collaborate across teams.
Object-Oriented Programming
Design modular, reusable, and testable software using classes, inheritance, and encapsulation. Structure complex system architectures and enable scalable, maintainable MATLAB code.
Consistent Environments for Collaboration
Ensure consistency for your code across environments by using MATLAB projects. Consistency enables collaboration wherever you develop or run your code.
Source Control
Manage MATLAB code with Git™ and other source control systems to track code changes and versions. Use built-in diff/merge tools to safely resolve conflicts.
Testing for Code Quality
Write and run unit tests, verify code behavior, and integrate testing into CI/CD pipelines to ensure code reliability and quality. Easily run MATLAB tests on common CI platforms with the CI Configuration repository in GitHub.
