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author: Ben Lauwens
2019-05-31
O'Reilly Media
Think Julia: How To Think Like A Computer Scientist
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If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.
Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.
Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand types, methods, and multiple dispatch
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design and data structures through case studies
Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.
Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand types, methods, and multiple dispatch
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design and data structures through case studies
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If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.
Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.
Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand types, methods, and multiple dispatch
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design and data structures through case studies
Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.
Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand types, methods, and multiple dispatch
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design and data structures through case studies
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Number of Pages
296
Publication Date
2019-05-31
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