In this tutorial, we will walk you through step by step on how to calculate logarithm values using Python – a popular, general-purpose coding language. We will be utilizing the built-in math library to calculate log values.

### Step 1: Importing the Math library

The first step requires us to import the math library which includes a compilation of mathematical functions that Python supports. To do this, we use the import function as shown below:

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import math |

### Step 2: Using the log() function

The second step is to use the math.log() function from the math library. By inputting a number inside the parentheses, you receive the natural logarithm of that number as a result.

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math.log(10) |

### Step 3: Calculating Logarithms with Other Bases

By default, the math.log() function bases its calculation on natural logarithms (base e), but the function also allows for calculations with other bases.

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math.log(100, 10) |

This returns the logarithm value for 100 to the base of 10.

### Step 4: Handling Negative and Zero Values

Care must be taken when handling logarithms for negative numbers and zero as these cases result in math errors. A number must be positive and not zero for a logarithm value to exist.

At the end of the post, but before the conclusion, display the full code if you used any. The text should be h2 tag.

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import math # Natural logarithm print(math.log(10)) # Logarithm to the base 10 print(math.log(100, 10)) |

2.302585092994046 2.0

## Conclusion

In conclusion, we have learned to calculate logarithm values in Python using the math library’s built-in log function.

We have also learned how to calculate logarithms with different bases and the importance of ensuring the input number is neither negative nor zero to prevent a math error.