Import Significance in Python
Import keyword is to get access to code from another module, i.e., one module available in another.
Python imports are crucial for efficiently organizing your code. You may reuse code and keep your projects maintainable by using imports effectively, which can increase your productivity
The ability to import and reuse modules in other code is their true strength.
Example of Significance in Python:
We are creating a Python file named MathReference.py and storing it in the same path where another Python script is residing on your PC – in our case, these are on the desktop. When an import is used, the import () method is to first look for the module in the local scope
The second script will import this file as a module where we leverage the same program in the new script. This script “pointer.py” will import “MathReference.py” and will use its functions.
In short, it is imported into pointer.py and its variables can be accessed by treating it as a class and name() as its object.
The name is so bigger that we can import it as some alias, and can use the alias name instead.
By utilizing the “from” keyword, you can decide to import only certain components from a module like here we are importing the name module from the MathReference file.
In the same way, if I need to utilize the sum function from the same script it will throw an error as we didn’t inform about need to specify the module name if we need to use it in another program, as follows-
To import complete resources or all the functions and constants can be imported using *
Python code in one module can access Python code in another module by importing the other module’s code. The most popular method of using the import mechanism is to use an import statement, although it is not the only method. All scripts in your environment can access the packages that you’ve installed. Packages can also be installed from a local computer and are made accessible in the same manner.
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