Type Hints

Type hints in Python are a feature that enables developers to specify the expected data types of variables, function arguments, and return values. It was introduced in Python 3.5.

Note: Type hints are part of the typing module, which provides a comprehensive set of tools for type annotations.

Type hints help developers write more robust code by allowing tools like linters and IDEs to catch type-related errors before runtime.

Syntax

This is the general syntax for type hints in function annotations:

from typing import List, Dict, Union

def function_name(parameter_name: parameter_type) -> return_type:
  # Function body

• parameter_name: This represents the name of the parameter that the function accepts.
• parameter_type: This indicates the expected data type of parameter_name.
• return_type: This specifies the data type of the value that the function will return.

Commonly Used Type Hints

• int, float, str, bool: These are the basic data types.
• List[ElementType]: This is a list containing elements of ElementType.
• Dict[KeyType, ValueType]: This is a dictionary with keys of KeyType and values of ValueType.
• Union[Type1, Type2]: This is a value that can be of either Type1 or Type2.
• Optional[Type]: This indicates that a value can be of Type or None.

Note: Starting with Python 3.7, PEP 563 allows type annotations to be stored as strings and evaluated only when needed, optimizing runtime performance. From Python 3.10 onwards, PEP 604 introduces the | operator as a concise alternative to Union, simplifying syntax for type annotations.

Example

This is an example of a function using type hints:

from typing import List, Dict, Union

def process_data(data: List[Dict[str, Union[int,str]]]) -> List[str]:
  """
  Processes a list of dictionaries to extract string values.

  Args:
    (data: List[Dict[str, Union[int,str]]]): A list of dictionaries including string keys and integer or string values.

  PEP 604 Args:
    (data: List[Dict[str, int | str]]): A list of dictionaries including string keys and integer or string values as per PEP 604.

  Returns:
    List[str]: A list of string values extracted from the dictionaries.
  """

  result = []

  for item in data:
    for key, value in item.items():
      if isinstance(value, str):
        result.append(value)
  return result

# Example usage
data = [
  {"name": "Alice", "age": 25},
  {"name": "Bob", "city": "New York"}
]

output = process_data(data)

print(output)

The above example would output the following:

['Alice', 'Bob', 'New York']

Codebyte Example

Here is a codebyte example demonstrating the usage of type hints:

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Note: While type hints enhance code clarity and facilitate static analysis during development, they do not affect how Python executes the code.