Templates , Type Hinting, Generics !

A Takeaway from CPP Module 07

C++ Templates (Static Molds):

• C++ templates involves compile-time code generation where each instantiation of a template with a different type generates a new set of machine code.
• Handles multiple data types with a single function or class definition

— — — — — — — — — — — — — —Analogy — — — — — — — — — — — — — — C++ templates are like static molds in a workshop. Each mold represents a blueprint that can be filled with specific details to create a unique object.

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Code Sample and Output :

Template Code sample

Output

2. Python Type hinting(Defined Lego Blocks):

— — — — — — — — — — — — — — Analogy — — — — — — — — — — — — — —

Defined shapes on LEGO blocks, ensuring that the pieces fit together correctly and hinting at how they can be combined.

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Features:

• Is dynamically typed.
• The type hints are not enforced at runtime without additional libraries.

Code Sample and Output:

Python Type hinting

Output from Compiler

3. Rust Generics (Flexible Blueprints):

— — — — — — — — — — — — — — Analogy — — — — — — — — — — — — — —

Versatile blueprints adapting to different objects.

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Features:

• Rust introduces generics similar to templates in c++, which are like flexible blueprints that can be used to create a wide range of objects.
• With generics, you can define functions, structs, and enums that can work with different types, providing code reusability and type safety.
• Uses monomorphization to generate code at compile time, similar to C++, but with a more disciplined approach that can lead to less code bloat.

Rusty Generics

Output

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