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153. why 0.1 + 0.2 !== 0.3 ? How to deal with float precision in your apps?

0.1 and 0.2 cannot be accurately represented in binary floating point format. When they are added together, the result is a number that has a very small rounding error due to the imprecise representation of the input numbers. This rounding error is small, but it's enough to make the result slightly different from the expected value of 0.3.

To deal with float precision in your apps, there are several approaches you can take:

  1. Use a dedicated library that handles arbitrary precision arithmetic, such as bignumber.js or decimal.js.

  2. Use string concatenation instead of addition. This avoids the imprecision of binary floating point arithmetic, but it can be slower and less convenient.

  3. Use a tolerance or epsilon value when comparing floating point numbers. Instead of checking for an exact match, check that the difference between the two values is smaller than some small threshold value.

  4. Use integer arithmetic instead of floating point arithmetic whenever possible. This is often faster and more precise, but it may not be suitable for all applications.