modules in python python tutorials for beginners lec97

Опубликовано: 17 Июль 2026
на канале: CodeTube
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sure! let's dive into the topic of modules in python.

what are modules in python?

in python, a module is a file containing python code. this code can include functions, classes, variables, and runnable code. modules allow you to organize your python code logically and reuse it across different programs.

why use modules?

1. **code reusability**: you can define functions or classes in one module and use them in other modules or scripts.
2. **namespace management**: modules help avoid name clashes by providing a separate namespace for each module.
3. **organization**: modules help you to break your code into smaller, manageable, and organized files.

creating a module

to create a module, you simply need to write a python file with a `.py` extension. for example, let's create a module named `greetings.py`.

**greetings.py**:


using a module

to use the functions defined in your module, you can use the `import` statement in another python file.

**main.py**:


running the code

1. save the first code snippet as `greetings.py`.
2. save the second code snippet as `main.py`.
3. run `main.py` to see the output.

output
when you run `main.py`, you will see the following output:


importing specific functions

you can also import specific functions from a module using the `from` keyword.

*main.py* (alternative):


renaming imports

you can also rename functions when importing to avoid conflicts or for convenience.

*main.py* (alternative):


the `__name__` variable

every module has a special built-in variable called `__name__`. if you run a module directly, the `__name__` variable is set to `'__main__'`. this feature allows you to include code that should only run when the module is executed directly, not when it is imported.

*greetings.py* (with `__name__` check):


conclusion

modules are a fundamental part of python programming that helps organize, reuse, and manage your code. by using modules, you can make your programs cleaner and more efficient. ...

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