Type Conversions
Explore some of the built-in functions offered by Python for type conversions.
There may be times when we need to change data from one type to another. Here are some scenarios where this conversion is necessary:
Reading data from CSV files: When reading data from CSV files, Python reads each entry as a string. Depending on the data types in each column, you might need to convert these strings to integers, floats, or Booleans.
Exchanging data using APIs: When exchanging data using APIs, data might be received in a specific format (e.g., JSON). You might need to convert the received data (strings or dictionaries) to the appropriate Python data types (lists, integers, etc.) for further use in your application.
Processing web form data: Data submitted through web forms is often in string format. You might need to convert this string data to integers (for age or quantity), floats (for prices or measurements), or Booleans (for yes/no checkboxes) before performing calculations or storing it in a ...