Difference between Modules and Packages in Python
It is often that many coders and amateur programmers may confuse between a module and a package. The problem generally arises when it becomes hard to identify when and where a module or a package should be implemented.
In the following tutorial, we will discuss a clear set of differences in modules and packages in the Python programming language that will make it easy for the programmers to work more professionally while dealing with both modules and packages.
Understanding the Modules in Python
A module is a pythonic statement containing different functions. Modules act as a pre-defined library in the script, which is accessible to both the programmers as well as the user.
The python modules also store pre-defined functions from the library when the code is being executed.
Let us consider an example demonstrating the use of a module in Python
<built-in function pow>
In the above snippet of code, we have imported the required module and used the pow() function to calculate the powers of the given number as arguments. We have then printed the value of the pow for the user.
Understanding the Packages in Python
A package is considered a collection of tools that allows the programmers to initiate the code. A Python package acts as a user-variable interface for any source code. This feature allows a Python package to work at a defined time for any functional script in the runtime.
Let us consider the following example demonstrating the package in Python.
We have imported the math package
In the above snippet of code, we have imported the math package that consists of various modules and functions for the programmers and printed a statement for the users.
Understanding the differences between Python Modules and Packages
A python "module" contains a unit namespace, with the variables that are extracted locally along with some parsed functions like:
There are some usually utilized tools that allow the programmers to build a new platform with the help of the modules for better code executions. This installs and distributes packages throughout the library in runtime as well.
It becomes easier for us to employ the user-specific tools with the help of a well-structured and standard layout for the package.