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Short Lessons on Wolfram Language: Programming, Data Processing, Graphics, Machine Learning, and Quantum Computing with Mathematica
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Preface 0 Quick introduction 1 Variables, functions, loops 2 Lists, matrices, and tensors 3 Numbers and strings 4 Graphics and visualization 5 Graphs 6 Solving and simplifying 7 Using external data 8 Machine learning 9 Quantum computing 10 Packages, scripting, external evaluation A Internet resources Bibliography
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This book provides a tutorial on Wolfram Language, the programming language powering the Mathematica computer algebra system. The main purpose of this book is to introduce the basic concepts required to start using Mathematica. The book contains lessons organized around various topics and use cases where the capabilities of Mathematica can be demonstrated. The lessons cover such elements of Wolfram Language as syntax, concepts used in linear algebra, graph theory, functions used to visualize data, and methods of solving equations. The introduced concepts are utilized to provide an overview of the basic elements of machine learning and quantum computing.
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