high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance

high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance