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Built-in Methods in Python

Built-in Methods in Python

Introduction: 

Python is a versatile programming language that offers a wide range of built-in methods to perform various operations efficiently. These built-in methods are readily available for use without requiring any external libraries or modules. In this documentation, we will explore some commonly used built-in methods in Python along with code examples and explanations.

1. String Methods:

1.1 upper()
Description: This method returns a copy of the original string with all characters converted to uppercase.
Example:

python
text = "hello world"
result = text.upper()
print(result) # Output: "HELLO WORLD"

1.2 lower()
Description: The lower() method returns a copy of the original string with all characters converted to lowercase.
Example:

python
text = "Hello World"
result = text.lower()
print(result) # Output: "hello world"

2. List Methods:

2.1 append()
Description: The append() method adds an element to the end of the list.
Example:

python
numbers = [1, 2, 3]
numbers.append(4)
print(numbers) # Output: [1, 2, 3, 4]

2.2 pop()
Description: The pop() method removes and returns the last element from the list.
Example:

python
fruits = ["apple", "banana", "orange"]
removed_fruit = fruits.pop()
print(removed_fruit) # Output: "orange"
print(fruits) # Output: ["apple", "banana"]

3. Dictionary Methods:

3.1 keys()
Description: The keys() method returns a list of all keys in the dictionary.
Example:

python
person = {"name": "John", "age": 30, "city": "New York"}
keys_list = person.keys()
print(keys_list) # Output: ["name", "age", "city"]

3.2 values()
Description: The values() method returns a list of all values in the dictionary.
Example:

python
person = {"name": "John", "age": 30, "city": "New York"}
values_list = person.values()
print(values_list) # Output: ["John", 30, "New York"]

Conclusion:
Python's built-in methods provide a powerful set of functionalities that simplify programming tasks. Whether it's manipulating strings, lists, dictionaries, or other data structures, these methods are invaluable tools for Python developers. By using the appropriate built-in methods, you can enhance your code's readability, efficiency, and maintainability. Experiment with these methods and incorporate them into your Python projects for smoother development experiences.

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