Python with opencv tutorial series part 1 finally understand
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*tutorial: python with opencv tutorial series - part 1: understanding `return`*
in this tutorial series, we will explore the basics of using python with opencv, a popular library for computer vision tasks. in part 1, we will focus on understanding the `return` statement in python functions.
what is the `return` statement?
in python, the `return` statement is used to exit a function and return a value to the caller. when a function is called, it may perform some operations and then use `return` to send a result back to the code that called it.
syntax:
example:
explanation:
- in the example above, we have defined a function `add_numbers` that takes two parameters `num1` and `num2`.
- inside the function, we calculate the sum of `num1` and `num2` and store it in the variable `result`.
- we then use the `return` statement to send the `result` back as the output of the function.
- when we call the `add_numbers` function with arguments `5` and `3`, it returns the sum `8`, which is stored in the `sum_result` variable.
- finally, we print the sum using `print("the sum is:", sum_result)`.
conclusion:
the `return` statement is a fundamental concept in python functions that allows you to send back values from a function. understanding how to use `return` is essential for writing modular and reusable code.
in the next part of this tutorial series, we will delve deeper into using opencv for image processing tasks. stay tuned for more exciting content!
feel free to experiment with the `return` statement in your own python code to grasp its functionality better.
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