Learn how to use Pandas to handle various data cleaning tasks, such as dealing with missing values, duplicates, outliers, formatting errors, and inconsistent values in your data.

Fortunately, Python has a powerful and flexible library called Pandas that ... missing data using isnull() or notnull() functions to investigate missing values. Data Type Checking: Use dtypes ...

Floats can be compared using a small tolerance ... Many languages have decimal libraries such as Python decimal.Decimal or Swift Decimal or Java BigDecimal. Pandas most common types are int, float64, ...