Rather than requiring different toolkits for different jobs, Mathematica integrates the world's largest collection of algorithms, high-performance computing capabilities, and a powerful visualization engine in one coherent system, making it ideal for academic research in just about any discipline.
Resources for researchers
- Mathematica for University Research—Free video course
Explore Mathematica's high-level and multi-paradigm programming language, support for parallel computing and GPU architectures, built-in functionality for specialized application areas, and multiple publishing and deployment options for sharing your work.
- Wolfram Language Training Courses—Free video courses
Explore what's possible with the Wolfram Language, including programming fundamentals and concepts, built-in functions, symbolic expressions, and tips for better, faster coding.
- Utilizing HPC and Grid Computing—Free video course
Learn how to create programs that take advantage of multicore machines or available clusters.
- Field-Specific Applications
Learn what areas of Mathematica are useful for specific fields.