variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 417 34.4 Tools . . . . . . . . . . . . . . . dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features annotate types for the compiler, types exist only at compile time and cannot be manipulated or expressed at run time. In Julia, types are themselves run-time objects, and can also be used to convey information

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 417 34.4 Tools . . . . . . . . . . . . . . . dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features annotate types for the compiler, types exist only at compile time and cannot be manipulated or expressed at run time. In Julia, types are themselves run-time objects, and can also be used to convey information

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading and package precompiling time . . . . . . . . . 476 36 Workflow Tips 479 36.1 REPL-based workflow . . . . . . . . . . . . . . EscapeAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1896 105.25 Ahead of Time Compilation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1913 105.26 Static analyzer

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading and package precompiling time . . . . . . . . . 476 36 Workflow Tips 479 36.1 REPL-based workflow . . . . . . . . . . . . . . EscapeAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1896 105.25 Ahead of Time Compilation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1913 105.26 Static analyzer

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading and package precompiling time . . . . . . . . . 476 36 Workflow Tips 479 36.1 REPL-based workflow . . . . . . . . . . . . . . EscapeAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1896 105.25 Ahead of Time Compilation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1913 105.26 Static analyzer

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 416 34.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1105 66 API reference 1108 66.1 Dates and Time Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1108 66.2 Dates Functions dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 413 34.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1083 65 API reference 1086 65.1 Dates and Time Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1086 65.2 Dates Functions dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 413 34.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1083 65 API reference 1086 65.1 Dates and Time Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1086 65.2 Dates Functions dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 413 34.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1083 65 API reference 1086 65.1 Dates and Time Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1086 65.2 Dates Functions dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features

variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 34.3 Measure performance with @time and pay attention to memory allocation . . . . . . 412 34.4 Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1082 65 API reference 1085 65.1 Dates and Time Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1085 65.2 Dates Functions dispatch, and good performance, achieved using type inference and just-in-time (JIT) compilation (and optional ahead-of-time compilation), implemented using LLVM. It is multi-paradigm, combining features