Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

the performance trade-off and provide a single environment produc�ve enough for prototyping and efficient enough for deploying performance-intensive applica�ons. The Julia programming language fills this behavior across many combina�ons of argument types via mul�ple dispatch • Automa�c genera�on of efficient, specialized code for different argument types 3 4 CHAPTER 1. JULIA 1.2 DOCUMENTATION • Good type system • Elegant and extensible conversions and promo�ons for numeric and other types • Efficient support for Unicode, including but not limited to UTF-8 • Call C func�ons directly (no wrappers

the performance trade-off and provide a single environment produc�ve enough for prototyping and efficient enough for deploying performance-intensive applica�ons. The Julia programming language fills this behavior across many combina�ons of argument types via mul�ple dispatch • Automa�c genera�on of efficient, specialized code for different argument types • Good performance, approaching that of sta�cally-compiled type system • Elegant and extensible conversions and promo�ons for numeric and other types • Efficient support for Unicode, including but not limited to UTF-8 • Call C func�ons directly (no wrappers

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled