Compute a real-number logarithm using base two.
What You Will Learn
log2(value) is intended for binary scales and is generally more accurate than log(value, 2). Value must be positive.
For floating-point results, remember that stored values are approximations. Rounding a displayed value does not change the exact value used by later calculations.
Step-by-Step Example
The example below makes the behavior visible with small input values that you can change safely.
import math
print(math.log2(1024))How the Example Works
- The imports provide the standard-library tools used in the demonstration: math.
- The print() calls make the return values or state visible so you can compare them with the explanation and check your prediction.
For the chosen input, the expression math.log2(1024) prints 10.0. Compare that result with the rule above before you change the argument.
Expected output from the example:
10.0Another Example: Compare the Results
Try a second input and compare it with the first. Notice whether the result changes in type, value, order, or number of items.
import math
print(math.log2(8), math.log2(1))Expected output:
3.0 0.0When You Would Use This
This operation can support measurements, numeric reports, simulations, or input validation. Choose integer operations when exact integer answers are required, and check floating-point rounding when displaying measured values. Validate units and input domains before using the result in a calculation.
Practice: Modify the Code
Find how many doubling steps reach a given threshold.
Verify the changed output against the behavior described above, including the relevant invalid or boundary case.
For complete parameters and version details, consult the official Python documentation.
Common Beginner Mistakes
- Assuming log2() computes the integer bit length rather than a floating-point logarithm.
- Skipping invalid or boundary inputs when adapting a numeric function to real user data.
Key Takeaways
- Compute a real-number logarithm using base two.
- log2(value) is intended for binary scales and is generally more accurate than log(value, 2).
- Apply this operation only after checking the assumptions and input conditions shown in the example.