How to Generate Random Floating-Point Values Within a Range in Python?

Accessing Random Values within a Float Range

While the random.randrange(start, stop) function is a versatile tool for generating random integers, it falls short when attempting to obtain random values within a float range. To bridge this gap, python incorporates the random.uniform(a, b) function.

Utilizing random.uniform

To generate random floating-point numbers within a specified range, invoke random.uniform(a, b) with the following syntax:

random.uniform(start, end)

Here, start represents the lower bound of the desired range, and end denotes the upper bound. The resulting random number will fall somewhere between these two values.

Example:

Consider the task of obtaining a random number between 1.5 and 1.9. Using random.uniform, this can be effortlessly accomplished as shown below:

<code class="python">import random
result = random.uniform(1.5, 1.9)
print(result)</code>

When executed, this code will print a random floating-point number within the specified range.

Additional Notes:

• random.uniform generates numbers with uniform distribution, meaning that all values within the specified range are equally likely to be selected.
• random.uniform allows start and end to be swapped without affecting the functionality, since the random number is uniformly distributed.
• The returned value is of the float data type, even if the input values are integers.

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