A Cheat Sheet for Type Hinting in Python

Here's why you should be using type hinting for your python code - it's nothing but beneficial!

Type hinting, introduced in PEP 484, improves code documentation and enables static analysis without affecting runtime performance.

Here, I’ll be covering the basic type hinting syntax, common type hints, and their benefits.

Basic Type Hinting Syntax

Let’s suppose you have the following code:

def greet(name):
    return f"Hello, {name}!"

While this function is relatively self-explanatory, you may want to specify the different types of data that this function takes and returns:

def greet(name: str) -> str:
    return f"Hello, {name}!"

Now we know the following data types:

  • The variable name is a string (input)

  • The return type is a string (output).

To specify type hinting, each parameter in the function is followed by a colon (:) with the respective data type (i.e. str, int, list).

The return type comes after the arrow (->) with the respective data type.

If we were to have a dictionary as part of our type hinting, it would look something like this:

def make_dict(key: str, value: str) -> dict[str, str]:
     return {key : value}

Where the inputs are both strings and the output is a dictionary of strings.

A Cheat Sheet for Type Hinting

Here’s a quick reference for common type hints:

Description

Type Hint

Integer

int

Float

float

String

str

Boolean

bool

Bytes

bytes

None Type

None

List

list[Type]

Tuple

tuple[Type]

Dictionary

dict[key_type, value_type]

Set

set[Type]

Benefits of Type Hinting

There are many benefits to type hinting with very few draw-backs:

  1. Improved readability and maintainability - Type hints act as self-documenting code, making it easier for developers to understand functionality without digging through the implementation details.

  2. Enhances IDE auto-completion and documentation - Modern IDE’s such as PyCharm and VS Code leverage type hints for better auto-completion and in-line documentation, leading to fewer bugs.

  3. Catches errors early with tools like mypy - Tools such as mypy analyzes code statically to detect type mismatches before runtime, preventing common errors.

The Bottom Line

Type hints make Python code significantly more robust while keeping it's flexibility.

Despite being optional, you should always include type hinting - there isn’t a reason in my books to not use type hinting as I’ve always found it has been beneficial.

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