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If you are brand-new to Mathematica, below are some suggestions on the best ways to get started.
The first two tutorials are excellent for new users, and can be assigned to students as homework to learn Mathematica outside of class time.
Follow along in Mathematica as you watch this multi-part screencast that teaches you the basics—how to create your first notebook, calculations, visualizations, interactive examples, and more.
Provides examples to help you get started with new functionality in Mathematica 9, including the predictive interface.
Access step-by-step instructions ranging from how to create animations to basic syntax information.
Search Wolfram's large collection of materials for example calculations or tutorials in your field of interest.
Learn how to make your classroom dynamic with interactive models, explore computation and visualization capabilities in Mathematica that make it useful for teaching practically any subject at any level, and get best-practice suggestions for course integration.
Learn how to create a slideshow for class that shows a mixture of graphics, calculations, and nicely formatted text, with live calculations or animations.
Download pre-built, open-code examples from a daily-growing collection of interactive visualizations, spanning a remarkable range of topics.
Access on-demand and live courses on Mathematica, SystemModeler, and other Wolfram technologies.
Research with Mathematica
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.
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.
Learn how to create programs and take advantage of multi-core machines or a dedicated cluster.
Learn what areas of Mathematica are useful for specific fields.