If you’re learning Python, one essential feature you’ll need to use regularly is importing models.
This feature allows you to use code that you and others have previously written, which can significantly cut down on the work you need to do. In this tutorial, we will walk you through step-by-step how to import a model in Python.
Step 1: Define Your Model
The first step in importing a model is, of course, to have a model. This could be a class, file, or module that you have written or a pre-existing one.
For this example, let’s say we’ve defined a simple math function in a separate Python file called math_functions.py as follows:
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def addition(a, b): return a + b |
This function, when called, will add two numbers together and return the result.
Step 2: Import the Model
To import this function into another Python file, we will first need to use the import keyword.
The syntax for importing is straightforward – just type ‘import’ followed by the name of the model you wish to import. In our case, we are importing the math_functions model we defined earlier.
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import math_functions |
Step 3: Use the Model
Now that we have successfully imported our model, we can call and use its functions, methods, or variables. In our example, we can now call the addition function as follows:
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result = math_functions.addition(5, 3) print(result) |
The above code will call the addition function and print out the result. In this case, the output would be 8.
Full Code
Below is the complete code for the example we worked on:
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import math_functions result = math_functions.addition(5, 3) print(result) |
Conclusion
Importing models in Python is a fundamental piece of Python programming, as it enables code reuse and modularity. By the end of this tutorial, you should be able to import a model in Python and use its functions or variables.
This capability will significantly boost your Python coding efficiency and open the door to using numerous pre-built Python libraries out there.