In Python, we can tackle the precision of floating-point numbers by the use of different functions. Most of these functions are present in the “**math” **module. Let us look into some of the frequently used operations in Python for Data Science.

**trunc():**It eliminates all the decimal places and returns integer without any decimal points.**ceil():**It gives the least integer greater than the number provided.**floor():**It is the opposite of**ceil()**and gives the greatest integer smaller than the integer provided.

**Setting the Precision:**

**Using (%):**It is denoted by “%”. It is used for setting precision and for formatting.**Using format():**This is another method of formatting the string for setting precision.**Using round(x, n):**Here we have to provide two arguments, one is the number and the other is the number till which we want the decimal value to be rounded off.

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To learn more about precision in python for data science, you can check this and this as well.