Built in modules in python with example

Kelly 179 Published: 10/13/2024

Built in modules in python with example

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Python is a powerful programming language that offers many built-in modules to make development easier and more efficient. Here are some examples of Python's built-in modules:

math:

The math module provides mathematical functions like sin(), cos(), tan(), etc.

Example:

import math

print(math.sin(3.14))
statistics:

The statistics module provides statistical functions like mean(), median(), stdev(), etc.

Example:

from statistics import mean

data = [1, 2, 3, 4, 5]


print(mean(data))
time:

The time module provides functions for working with dates and times, such as datetime() and timedelta().

Example:

import time

print(time.asctime())


print(time.localtime())
calendar:

The calendar module provides functions for working with dates, like getting the day of the week or month.

Example:

import calendar

print(calendar.month(2022, 3))
random:

The random module provides functions for generating random numbers and strings, such as randint() and shuffle().

Example:

import random

print(random.randint(1, 100))


random.shuffle(["a", "b", "c"])
itertools:

The itertools module provides functions for working with iterators, like chain() and cycle().

Example:

from itertools import cycle

numbers = [1, 2, 3]


print(list(cycle(numbers)))
functools:

The functools module provides higher-order functions like partial() and reduce().

Example:

from functools import reduce

numbers = [1, 2, 3, 4, 5]


print(reduce(lambda x, y: x + y, numbers))
re (regular expressions):

The re module provides functions for working with regular expressions, such as search() and sub().

Example:

import re

text = "Hello world!"


pattern = r"bworldb"


print(re.search(pattern, text).group())
os:

The os module provides functions for interacting with the operating system, like getting the current directory or creating a new file.

Example:

import os

print(os.getcwd())


with open("example.txt", "w") as f:


f.write("Hello world!")
collections:

The collections module provides additional data structures like deque and namedtuple().

Example:

from collections import deque

numbers = deque([1, 2, 3])


print(list(numbers))

These are just a few examples of the many built-in modules in Python. Each module provides its own set of functions and classes that can be used to make development more efficient and fun!

What are built-ins in Python?

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Built-in functions and objects are pre-defined parts of the Python language that can be used without importing any additional modules. They're essential for performing various tasks, such as data manipulation, file handling, string operations, and more.

Here's a comprehensive list of built-ins:

Arithmetic Operations: +, -, *, /, %, ** (exponentiation) - These operators can be used with numbers to perform basic arithmetic operations.

Comparison Operators: ==, !=, <, <=, >, >= - These operators are used for comparing values and returning boolean results. Logical Operators: and, or, not - These operators can be used to combine boolean conditions and return logical results. Membership Test: in, not in - Used to check if a value is present or absent from an iterable (like a list, tuple, or dictionary). Identity Operators: is, is not, ==, != - Check the identity of two objects or their equality. Object Representation: int(), float(), complex() - Convert values to integers, floating-point numbers, or complex numbers. Type Conversion: str(), bytes(), list(), etc. - Convert values to specific types (like strings, bytes, lists, tuples, dictionaries, etc.). String Manipulation: len(), lower(), upper(), title() - Perform various string operations like calculating length, converting cases, or extracting title casing. File Handling: open() - Read and write files using Python's built-in file handling capabilities. Error Handling: try, except - Catch and handle exceptions (errors) that may occur during code execution. Function: abs(), all(), any(), bin(), chr(), divmod(), etc. - These built-in functions provide various utility operations, like absolute value calculations, checking for truthiness or falseness, converting to binary strings, and more. Constants: None (representing the absence of a value) True and False (logical values representing true and false) Ellipsis (a special object used in slicing operations)

These built-in functions and objects can be accessed directly without importing any additional modules or packages. They're an essential part of Python's syntax, allowing developers to write more efficient, readable, and maintainable code.

That's a comprehensive overview!

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