Скачать или смотреть python for loop with float step

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In Python, the for loop is a versatile construct used to iterate over a sequence of elements. While the range() function is commonly employed to generate a sequence of integers, it is not well-suited for situations where a float step is required. In this tutorial, we'll explore how to use a for loop with a float step and provide code examples for better understanding.
Before delving into the float step aspect, let's revisit the basic structure of a for loop in Python:
To implement a for loop with a float step, we can use the numpy library, which provides the arange() function. The arange() function allows you to create a range of numbers with floating-point steps.
If you haven't installed NumPy yet, you can do so using the following command:
Now, let's create a simple example where we use a for loop with a float step to iterate over a range of numbers:
In this example:
This loop will iterate over the specified range with a float step of 0.1, printing each value during each iteration.
In this tutorial, we explored how to use a for loop with a float step in Python. By leveraging the numpy library and its arange() function, you can easily create a sequence of floating-point numbers within a specified range. This is particularly useful in scenarios where a fine-grained control over the iteration is required.
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