subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here is a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. In- stead, use a Dict. Dict in Julia isn't ordered.CHAPTER 38. NOTEWORTHY DIFFERENCES FROM OTHER which use a different syntax and allows dispatch on the receiver of the method). • There are no classes in Julia. Instead there are structures (mutable or immutable), containing data but no methods.CHAPTER

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here is a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. In- stead, use a Dict. Dict in Julia isn't ordered.CHAPTER 38. NOTEWORTHY DIFFERENCES FROM OTHER which use a different syntax and allows dispatch on the receiver of the method). • There are no classes in Julia. Instead there are structures (mutable or immutable), containing data but no methods.CHAPTER

toCHAPTER 13. METHODS 171 implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here is a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. In- stead, use a Dict. Dict in Julia isn't ordered.CHAPTER 39. NOTEWORTHY DIFFERENCES FROM OTHER which use a different syntax and allows dispatch on the receiver of the method). • There are no classes in Julia. Instead there are structures (mutable or immutable), containing data but no methods.CHAPTER

toCHAPTER 13. METHODS 171 implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here is a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. In- stead, use a Dict. Dict in Julia isn't ordered.CHAPTER 39. NOTEWORTHY DIFFERENCES FROM OTHER which use a different syntax and allows dispatch on the receiver of the method). • There are no classes in Julia. Instead there are structures (mutable or immutable), containing data but no methods.CHAPTER

toCHAPTER 13. METHODS 171 implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here is a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. In- stead, use a Dict. Dict in Julia isn't ordered.CHAPTER 39. NOTEWORTHY DIFFERENCES FROM OTHER which use a different syntax and allows dispatch on the receiver of the method). • There are no classes in Julia. Instead there are structures (mutable or immutable), containing data but no methods.CHAPTER

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. Instead, use a Dict. • In Julia each module has its own global scope/namespace, whereas in MATLAB dispatch, whereas functions in Python have a single implementation (no polymorphism). • There are no classes in Julia. Instead they are structures (mutable or immutable), containing data but no methods. •

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. Instead, use a Dict. Dict in Julia isn't ordered. • In Julia each module has its own global scope/namespace dispatch, whereas functions in Python have a single implementation (no polymorphism). • There are no classes in Julia. Instead they are structures (mutable or immutable), containing data but no methods. •

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. Instead, use a Dict. Dict in Julia isn't ordered. • In Julia each module has its own global scope/namespace dispatch, whereas functions in Python have a single implementation (no polymorphism). • There are no classes in Julia. Instead they are structures (mutable or immutable), containing data but no methods. •

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. Instead, use a Dict. Dict in Julia isn't ordered. • In Julia each module has its own global scope/namespace dispatch, whereas functions in Python have a single implementation (no polymorphism). • There are no classes in Julia. Instead they are structures (mutable or immutable), containing data but no methods. •

subtype does not need to implement a custom version of map, since the generic definitions + trait classes will enable the system to select the fastest version. Here a toy implementation of map illustrating non-interactive mode. • Julia's structs do not support dynamically adding fields at runtime, unlike MATLAB's classes. Instead, use a Dict. • In Julia each module has its own global scope/namespace, whereas in MATLAB dispatch, whereas functions in Python have a single implementation (no polymorphism). • There are no classes in Julia. Instead they are structures (mutable or immutable), containing data but no methods. •