Python Dictionary Data Type<\/title>\n<\/head>\n<body>\n <h1>Python Dictionary Data Type<\/h1>\n <p>In Python, a <strong>Dictionary<\/strong> is a <strong>mapping data type<\/strong> that stores data in key and value pairs. Dictionaries are defined using curly braces <code>{}<\/code>, and each element consists of a key and a value. For example:<\/p>\n <pre><code>my_dict = {\"name\": \"Alice\", \"age\": 25, \"city\": \"New York\"}<\/code><\/pre>\n\n <h2>Features of Dictionary<\/h2>\n <h3>1. Stored in Key-Value Pairs<\/h3>\n <p>Dictionaries store each element as a <strong>key-value pair<\/strong>, and keys must be unique. Keys must be immutable types (e.g., strings, numbers, tuples), while values can be of any data type.<\/p>\n <pre><code>person = {\"name\": \"Bob\", \"age\": 30, \"job\": \"Developer\"}\nprint(person[\"name\"]) # 'Bob'\nprint(person[\"age\"]) # 30<\/code><\/pre>\n\n <h3>2. Modifying Dictionaries<\/h3>\n <p>Dictionaries are <strong>mutable<\/strong>, which means you can add, modify, or delete elements. You can add new key-value pairs or modify existing values.<\/p>\n <pre><code>my_dict = {\"name\": \"Alice\", \"age\": 25}\nmy_dict[\"city\"] = \"New York\" # Add a new key-value pair\nmy_dict[\"age\"] = 26 # Modify existing value\nprint(my_dict) # {'name': 'Alice', 'age': 26, 'city': 'New York'}<\/code><\/pre>\n\n <h3>3. Deleting Dictionary Elements<\/h3>\n <p>You can delete a specific element from a dictionary using the <code>del<\/code> keyword or the <code>pop()<\/code> method.<\/p>\n <pre><code>my_dict = {\"name\": \"Alice\", \"age\": 25, \"city\": \"New York\"}\ndel my_dict[\"age\"] # Delete 'age' key\nprint(my_dict) # {'name': 'Alice', 'city': 'New York'}\n\ncity = my_dict.pop(\"city\") # Delete 'city' key and return its value\nprint(city) # 'New York'\nprint(my_dict) # {'name': 'Alice'}<\/code><\/pre>\n\n <h3>4. Dictionary Methods<\/h3>\n <p>Dictionaries provide various methods for easy manipulation of elements:<\/p>\n <ul>\n <li><code>dict.keys()<\/code>: Returns all keys in the dictionary.<\/li>\n <li><code>dict.values()<\/code>: Returns all values in the dictionary.<\/li>\n <li><code>dict.items()<\/code>: Returns all key-value pairs as tuples.<\/li>\n <li><code>dict.get(key)<\/code>: Returns the value corresponding to the key; returns <code>None<\/code> if the key does not exist.<\/li>\n <li><code>dict.update(other_dict)<\/code>: Adds or updates elements from another dictionary.<\/li>\n <\/ul>\n <pre><code>my_dict = {\"name\": \"Alice\", \"age\": 25}\nprint(my_dict.keys()) # dict_keys(['name', 'age'])\nprint(my_dict.values()) # dict_values(['Alice', 25])\nprint(my_dict.items()) # dict_items([('name', 'Alice'), ('age', 25)])\n\nprint(my_dict.get(\"city\")) # None\nmy_dict.update({\"city\": \"New York\", \"age\": 26})\nprint(my_dict) # {'name': 'Alice', 'age': 26, 'city': 'New York'}<\/code><\/pre>\n\n <h3>5. Iterating Over Dictionaries<\/h3>\n <p>You can use loops to iterate over keys, values, or key-value pairs in a dictionary.<\/p>\n <pre><code>my_dict = {\"name\": \"Alice\", \"age\": 25, \"city\": \"New York\"}\n\n# Iterating over keys\nfor key in my_dict:\n print(key)\n\n# Iterating over values\nfor value in my_dict.values():\n print(value)\n\n# Iterating over key-value pairs\nfor key, value in my_dict.items():\n print(f\"{key}: {value}\")<\/code><\/pre>\n\n <h3>6. Nested Dictionaries<\/h3>\n <p>Dictionaries can have other dictionaries as values, which are called <strong>nested dictionaries<\/strong>. Nested dictionaries are useful for structuring complex data.<\/p>\n <pre><code>nested_dict = {\n \"person1\": {\"name\": \"Alice\", \"age\": 25},\n \"person2\": {\"name\": \"Bob\", \"age\": 30}\n}\nprint(nested_dict[\"person1\"][\"name\"]) # 'Alice'\nprint(nested_dict[\"person2\"][\"age\"]) # 30<\/code><\/pre>\n\n <h2>Summary<\/h2>\n <ul>\n <li>Dictionaries are a mapping data type that stores data in key-value pairs.<\/li>\n <li>Dictionaries are mutable and allow adding, modifying, and deleting elements.<\/li>\n <li>Methods like <code>keys()<\/code>, <code>values()<\/code>, <code>items()<\/code> allow access to dictionary elements.<\/li>\n <li>Dictionaries can be iterated over with loops to access keys, values, or key-value pairs.<\/li>\n <li>Nested dictionaries can be used to structure complex data.<\/li>\n <\/ul>\n <p>Dictionaries are one of the most important data types in Python, useful for efficiently storing and manipulating data. 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