Summary  
The chapter explains how to use the `**` operator to unpack dictionaries into keyword arguments for functions and to merge multiple dictionaries into a single one with key precedence.

General domain of usage  
Function argument passing and configuration merging

When working with dictionaries in Python, the `**` operator provides a concise and powerful way to unpack their contents. **Unpacking with `**`** allows you to pass dictionary items as named arguments to functions or to merge multiple dictionaries together. This technique is especially useful when you want to write flexible and reusable code that can handle varying sets of named parameters.

The `**` operator takes a dictionary and expands its key-value pairs into separate keyword arguments. This is commonly used when calling functions that accept keyword arguments, letting you pass a dictionary directly instead of specifying each argument manually. Another practical use is merging two or more dictionaries into a new one, where all key-value pairs are combined in a single dictionary.

def print_person(name, age):
    print(f"Name: {name}, Age: {age}")

person_info = {"name": "Alice", "age": 28}
print_person(**person_info)

This code demonstrates Dictionary Unpacking using the `**` operator. When you place `**` before a dictionary in a function call, Python "unwraps" the key-value pairs and passes them as individual keyword arguments. In this example, `print_person(**person_info)` is functionally identical to writing `print_person(name="Alice", age=28)`. For this to work correctly, the dictionary keys must exactly match the parameter names defined in the function signature.

defaults = {"color": "blue", "size": "medium"}
overrides = {"size": "large", "style": "bold"}

merged = {**defaults, **overrides}
print(merged)

Here you can see Dictionary Merging. By placing `**` inside a new dictionary literal, Python expands the key-value pairs of both defaults and overrides into a single object.

When keys overlap - like "size" in this example - the dictionary appearing later in the sequence takes precedence. Here, the value "large" from overrides overwrites "medium" from defaults, resulting in a merged dictionary that combines all unique keys while prioritizing the most recent values.

What is the result of using `**` on a dictionary in a function call?

Which method combines two dictionaries using unpacking in Python?

Master packing/unpacking, flexible function arguments, higher-order functions, lambdas, variable scope, closures, iterators and decorators. Designed for learners who have completed an introductory Python course and want to write more efficient, expressive, and powerful code.

Explore the art of packing and unpacking lists, tuples, and dictionaries to write more expressive and efficient Python code.

Delve into the world of higher-order functions, passing functions as arguments, and writing concise anonymous functions with lambda.

Unravel the mysteries of variable scope, and learn how nested functions and closures enable powerful encapsulation.

Delve into Python's iteration protocol, custom iterators, and generator functions for efficient data processing.

Unpacking Dictionaries with **

1. What is the result of using `**` on a dictionary in a function call?

2. Which method combines two dictionaries using unpacking in Python?

Unpacking Dictionaries with **

1. What is the result of using ** on a dictionary in a function call?

2. Which method combines two dictionaries using unpacking in Python?

1. What is the result of using `**` on a dictionary in a function call?