What is the difference between double and float in floating point accuracy?

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Aryan Kumar · Answer

The main difference between double and float point accuracy is the number of digits that can be represented. A double has 15 to 17 significant digits of precision, while a float has 7 to 9 significant digits of precision. This means that a double can represent numbers more accurately than a float.

Here is a table summarizing the difference between double and float point accuracy:

Data type	Precision
Double	15 to 17 significant digits
Float	7 to 9 significant digits

For example, the double value 1.2345678901234567 has 17 significant digits, while the float value 1.234567890123456 has only 9 significant digits. This means that the double value can represent the number 1.2345678901234567 more accurately than the float value.

In general, you should use a double when you need to represent numbers with high precision. You should use a float when you need to represent numbers with less precision or when you are limited by memory constraints.

Here are some examples of when you should use a double:

Storing the value of pi
Storing the weight of an object in grams
Storing the temperature in Celsius
Storing the area of a circle in square meters

Here are some examples of when you should use a float:

Storing the price of an item in dollars
Storing the balance of an account in cents
Storing the interest rate on a loan in percent
Storing the exchange rate between two currencies

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What is the difference between double and float in floating point accuracy?

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