. . . . . . . . . . . . . . . . . . . . . . . . 375 43.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 376 43.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c • A rich language of types for dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

. . . . . . . . . . . . . . . . . . . . . . . . 377 44.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 378 44.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c 3 4 CHAPTER 1. JULIA 1.2-DEV dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

. . . . . . . . . . . . . . . . . . . . . . . . 371 43.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 372 43.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c • A rich language of types for dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

. . . . . . . . . . . . . . . . . . . . . . . . 369 43.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 370 43.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c • A rich language of types for dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

. . . . . . . . . . . . . . . . . . . . . . . . 379 45.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 380 45.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c 3 4 CHAPTER 1. JULIA 1.3-ALPHA dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

. . . . . . . . . . . . . . . . . . . . . . . . 377 44.2 Measure performance with @time and pay a�en�on to memory alloca�on . . . . . . . . . . . . . . 378 44.3 Tools . . . . . . . . . . . . . . . . languages are: • The core language imposes very li�le; Julia Base and the standard library is wri�en in Julia itself, including primi�ve opera�ons like integer arithme�c 3 4 CHAPTER 1. JULIA 1.3-DEV dynamic languages, however, means that one cannot instruct the compiler about the types of values, and o�en cannot explicitly talk about types at all. In sta�c languages, on the other hand, while one can – and

for pointers, assumed-shape (:) and assumed-size (*) arrays. Such behaviour can be avoided by using ISO_C_BINDING and includ- ing bind(c) in the definition of the subroutine, which is strongly recommended – To develop application or project in Julia, you can initialize its root directory as a "Project En- vironment", and house application-specific code/packages there. This provides good control over Julia 1.2. source Base.Sys.loadavg – Function. Sys.loadavg() Get the load average. See: https://en.wikipedia.org/wiki/Load_(computing). source Base.Sys.isexecutable – Function. Sys.isexecutable(path::String)

for pointers, assumed-shape (:) and assumed-size (*) arrays. Such behaviour can be avoided by using ISO_C_BINDING and includ- ing bind(c) in the definition of the subroutine, which is strongly recommended – To develop application or project in Julia, you can initialize its root directory as a "Project En- vironment", and house application-specific code/packages there. This provides good control over Julia 1.2. source Base.Sys.loadavg – Function. Sys.loadavg() Get the load average. See: https://en.wikipedia.org/wiki/Load_(computing). source Base.Sys.isexecutable – Function. Sys.isexecutable(path::String)

for pointers, assumed-shape (:) and assumed-size (*) arrays. Such behaviour can be avoided by using ISO_C_BINDING and includ- ing bind(c) in the definition of the subroutine, which is strongly recommended – To develop application or project in Julia, you can initialize its root directory as a "Project En- vironment", and house application-specific code/packages there. This provides good control over U+02002 \enspace En Space U+02003 \quad Em Space U+02005 \thickspace Four-Per-Em Space U+02009 \thinspace Thin Space U+0200A \hspace Hair Space U+02013 – \endash En Dash U+02014 — \emdash

for pointers, assumed-shape (:) and assumed-size (*) arrays. Such behaviour can be avoided by using ISO_C_BINDING and includ- ing bind(c) in the definition of the subroutine, which is strongly recommended – To develop application or project in Julia, you can initialize its root directory as a "Project En- vironment", and house application-specific code/packages there. This provides good control over method. 2. Within a function body without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied