BCA / B.Tech 9 min read

Modules in Python

Modules in Python:


Python is a modular programming language where code can be divided into smaller parts called modules. Modules are used to make code organized and reusable. They allow us to organize different functionalities into separate files. A module is a Python file with a `.py` extension containing various functions, variables, and classes that we can use in other Python scripts by importing them.

Types of Modules in Python:
1. Built-in Modules: These modules come pre-installed with Python. We don't need to install them separately. Examples include `math`, `datetime`, `os`, and `random`.
2. User-defined Modules: These are modules that users define themselves. When we organize our code into a separate file, we can use it as a module.
3. Third-party Modules: These are modules created by the Python community that we need to install separately, usually from the Python Package Index (PyPI) using `pip`. Examples include `NumPy`, `Pandas`, `Requests`, and `Matplotlib`.

Importing Modules in Python:
There are several ways to import modules:
  • Standard Import: `import math` - imports the entire module.
  • Import Specific Functions: `from math import sqrt` - imports only specific functions or variables.
  • Alias: `import numpy as np` - imports a module with a shorter name.

Advantages and Disadvantages of Modules:
Advantages: Reusability, code organization, simplicity, problem-solving with third-party modules, and maintainability.
Disadvantages: Import overhead, dependency issues, and potential name conflicts.