Python - Built-in Functions

01-Feb-2024

Explore the versatility of Python's built-in functions. Learn about essential functions provided by Python, covering operations like data conversion, string manipulation, and more for efficient programming.

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.


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