Module and Package : What are they?
Watch the video to understand how Python has some useful features for keeping your code well organised. This video will give you an overview of modules and packages.
Efficiency is an important objective in writing code. You might not notice the difference in small projects, but as you create larger programs and work with larger data sets, you will see that efficient, well-structured code results in better program performance. Using various features of modules and packages, you can most certainly try to achieve that.
This table below summarises the differences between modules and packages:
| Module | Package |
|---|---|
| A module is a file of Python code. | A package is a hierarchical file directory structure. |
| It can define classes, functions, and variables. | It defines a single Python application, or library. |
| It can include runnable code. | It consists of various sub-packages and modules. |
| Example use case: Write a set of functions once and reuse them in many different projects. | Example use case: Organise a collection of modules together for accomplishing a particular activity, such as data analytics. |
Python Packages: NumPy and Pandas Dataframe
Python Packages: NumPy and Pandas Dataframe
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