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in python, float data type is used to represent real numbers (numbers with decimal points). performing calculations with float values requires careful attention to precision and potential rounding errors. this tutorial will guide you through the basics of float calculations in python, along with tips to handle common issues.
floats have limited precision, which can lead to rounding errors. for example:
to handle precision issues, you can use the decimal module:
python supports scientific notation, which can be useful for very large or very small numbers:
you can convert between float and integer using int() and float() functions:
floats can represent special values such as nan (not a number) and infinity:
understanding float calculations is crucial for accurate numerical operations in python. be aware of precision issues, use the decimal module when necessary, and handle special float values appropriately. regularly testing your code with various inputs will help identify and address potential problems.
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