Modular Design
In Python, modular design means breaking up a large program into smaller,
independent modules that can be made, tested, and managed independently,
making the program as a whole easier to manage and comprehend.The idea of
modules and packages can be used to put a modular design into action in
Python. A package is a collection of modules arranged in a directory
hierarchy, whereas a module is a single file containing Python definitions
and statements.
Implementing Modular Design In Python
- Make a list of your program's various features and organize them into distinct modules.
- Give each module a clear goal and a limited scope. It will be simpler to test and debug this way.
- Make sure the purpose of your modules is clear by giving them meaningful names.
- Instead of importing the entire package, import only the modules that are necessary for your program.
- Before incorporating your modules into your main program, test them separately in the "main" block.
Type Of Modular Design
1.Functions: Functions can help you break up your code into
smaller, easier-to-manage pieces of logic. Because functions can be called
from other parts of your program, it is simple to reuse code and organize
your code.
2.Modules:
You can group functions, classes, and variables that are related together
in a single file using modules. This makes it easier to reuse code across
different parts of your program and helps keep your code organized.
3.Packages: Your code can be organized into modules organized in a hierarchical
fashion using packages. When you need to meaningfully group related
modules in large projects, this is helpful.
4.Classes:
Classes permit you to characterize complex information structures and
typify conduct inside them. This is helpful for making reusable parts that
can be utilized all through your program.
5.Mixins: Mixins add functionality to a class without having to subclass it,
allowing code to be reused across multiple classes. Code maintainability
and duplication can both benefit from this.
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