# OverflowError: Math Range Error in Python

The float type variables are used to represent numbers with a decimal point. It stores values between a given range and uses the `inf`

string to represent values that exceed this range.

The `math`

library is used to perform various mathematical operations. This tutorial will discuss `OverflowError: math range error`

in Python.

## Fix the `OverflowError: math range error`

in Python

An `OverflowError`

indicates that the raised error is due to exceeding the range of some data type. This specific error occurs when we perform a mathematical operation using the `math`

library but exceeding the float type’s decimal range.

For example,

```
import math
print(math.exp(2999))
```

Output:

```
OverflowError: math range error
```

In the above example, we get the error when using the `math.exp()`

function. This function calculates the exponential value of a given number.

In our example, the calculated value exceeds the range of decimals in float, so we get the error.

We need to be mindful of the range while calculating such calculations. There is no fix, so we can use the `try`

and `except`

blocks to work around this error.

We can also use the `if-else`

statements similarly, which is inefficient as we will have to check the input operands for the function beforehand.

We will put the code that can raise the error in the `try`

block and the alternative code in the `except`

block. If no error is raised, the code in the `try`

block is executed; otherwise, the code in the `except`

block will run.

For example,

```
import math
try:
print(math.exp(2999))
except:
print("Error")
```

Output:

```
Error
```

In the above example, the `try`

code block raised the error, so the `except`

code block was executed.

We can also use alternative mathematical functions in the `numpy`

library. The `numpy`

library returns the `inf`

constant whenever the range is exceeded.

For example,

```
import numpy
print(numpy.exp(2999))
```

Output:

```
inf
```

In the above example, the `numpy.exp`

function returns `inf`

since the output exceeds the range.

**Manav Narula**

Manav is a IT Professional who has a lot of experience as a core developer in many live projects. He is an avid learner who enjoys learning new things and sharing his findings whenever possible.

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