Thursday 27 June 2024

7 level of writing Python Dictionary

Level 1: Basic Dictionary Creation
Create a simple dictionary with key-value pairs.

# Creating a basic dictionary
person = {
    "name": "Alice",
    "age": 30,
    "city": "New York"
}
print(person)

#Clcoding.com
{'name': 'Alice', 'age': 30, 'city': 'New York'}

Level 2: Accessing and Modifying values

Level 2: Accessing and Modifying Values Access values using keys, and modify existing key-value pairs. # Accessing values print(person["name"]) # Modifying values person["age"] = 31 print(person["age"]) #Clcoding.com Alice 31


Level 3: Adding and Removing key Values Pairs

Level 3: Adding and Removing Key-Value Pairs Add new key-value pairs and remove existing ones. # Adding a new key-value pair person["email"] = "alice@example.com" print(person) # Removing a key-value pair del person["city"] print(person) #Clcoding.com {'name': 'Alice', 'age': 31, 'city': 'New York', 'email': 'alice@example.com'} {'name': 'Alice', 'age': 31, 'email': 'alice@example.com'}
Level 4: Dictionary Methods

Level 4: Dictionary Methods Use dictionary methods like keys(), values(), items(), get(), and pop() # Getting all keys print(person.keys()) # Getting all values print(person.values()) # Getting all key-value pairs print(person.items()) # Using get() method print(person.get("name")) print(person.get("city", "Not Found")) # Using pop() method email = person.pop("email") print(email) print(person) dict_keys(['name', 'age', 'email']) dict_values(['Alice', 31, 'alice@example.com']) dict_items([('name', 'Alice'), ('age', 31), ('email', 'alice@example.com')]) Alice Not Found alice@example.com {'name': 'Alice', 'age': 31}

Level 5: Dictionary Comprehensions
Level 5: Dictionary Comprehensions
Create dictionaries using dictionary comprehensions for more concise and readable code.

# Dictionary comprehension
squares = {x: x*x for x in range(6)}
print(squares)

#Clcoding.com
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25}

Level 6: Nested Dictionary
Level 6: Nested Dictionaries
Work with dictionaries within dictionaries to represent more complex data structures.

# Nested dictionary
people = {
    "person1": {
        "name": "Alice",
        "age": 30
    },
    "person2": {
        "name": "Bob",
        "age": 25
    }
}
print(people)

# Accessing nested dictionary values
print(people["person1"]["name"])  

#Clcoding.com
{'person1': {'name': 'Alice', 'age': 30}, 'person2': {'name': 'Bob', 'age': 25}}
Alice

Level 7: Advanced Dictionary Operations

Level 7: Advanced Dictionary Operations Using advanced features like merging dictionaries, using defaultdict from collections, and performing operations with dict and zip # Merging dictionaries (Python 3.9+) dict1 = {"a": 1, "b": 2} dict2 = {"b": 3, "c": 4} merged_dict = dict1 | dict2 print(merged_dict) # Output: {'a': 1, 'b': 3, 'c': 4} # Using defaultdict from collections import defaultdict dd = defaultdict(int) dd["key1"] += 1 print(dd) # Output: defaultdict(<class 'int'>, {'key1': 1}) # Creating a dictionary from two lists using zip keys = ["name", "age", "city"] values = ["Charlie", 28, "Los Angeles"] person = dict(zip(keys, values)) print(person) #Clcoding.com {'a': 1, 'b': 3, 'c': 4} defaultdict(<class 'int'>, {'key1': 1}) {'name': 'Charlie', 'age': 28, 'city': 'Los Angeles'}

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