Introduction
Python has a rich feature set of built-in functions that can be used for a variety of tasks. No further imports are required to use these functions, which are easily accessible.
Advantages of Built-In Functions
- Efficiency : Because they are C-written and highly optimized, built-in functions are effective for typical tasks.
- Readability : One can typically write more understandable and concise code by using built-in functions.
- No Imports: You can access them without importing any additional libraries.
Commonly Used Built-In Functions Here is a table summarizing various built-in functions in Python:
Function | Description | Example |
---|---|---|
len() |
Returns the length of an object | my_list = [1, 2, 3, 4, 5] length = len(my_list) |
max() |
Returns the largest item in an iterable | numbers = [10, 5, 8, 20, 3] max_number = max(numbers) |
min() |
Returns the smallest item in an iterable | numbers = [10, 5, 8, 20, 3] min_number = min(numbers) |
sum() |
Calculates the sum of elements in an iterable | numbers = [1, 2, 3, 4, 5] total_sum = sum(numbers) |
sorted() |
Returns a sorted list from the elements of an iterable | unsorted_list = [5, 2, 8, 1, 7] sorted_list = sorted(unsorted_list) |
abs() |
Returns the absolute value of a number | negative_number = -10 absolute_value = abs(negative_number) |
type() |
Returns the type of an object | value = 42 data_type = type(value) |
print() |
Displays information to the console | message = "Hello, Python!" print(message) |
Conclusion
Learning Python's built-in functions is crucial to writing effective and expressive code. These functions are fundamental to Python programming, whether they are handling data structures, doing mathematical calculations, or performing type checking.