Python built in modules w3schools

Cheney 57 Published: 09/28/2024

Python built in modules w3schools

I'd be happy to help with that!

w3schools is a popular online platform for learning web development, providing tutorials and reference materials on various programming languages, including Python.

Now, let's dive into the world of Python built-in modules!

math: The math module provides access to mathematical functions like sin, cos, tan, asin, acos, atan, etc.

Example: import math; print(math.sin(3.14))

time: The time module gives information about local time and alarm functions for scheduling tasks.

Example: import time; print(time.localtime())

re: The re (regular expression) module provides support for regular expressions, which are patterns used to search strings.

Example: import re; print(re.findall(r'bw+b', "Hello World"))

random: The random module is used for generating random numbers.

Example: import random; print(random.randint(0, 10))

** statistics** : This module contains functions for calculating statistical measures such as mean, median, mode and standard deviation.

Example: from stats import mean; print(mean([1,2,3,4,5]))

itertools: The itertools module provides functions that operate on iterators and iterables.

Example: import itertools; print(list(itertools.cycle([1, 2, 3])))

operator: This module defines the following functions: abs() add() and() attrgetter() callable() dir() divmod() eq() floor() ge() index() is_... itemgetter() le() lt() mod() ne() nor() or_() pow() setitem() setlen() setxor() truediv() truth() collections: The collections module provides a dictionary called defaultdict, which is a dictionary that defaults to a given value when the requested key does not exist.

Example: from collections import defaultdict; dd = defaultdict(int); print(dd['a'])

calendar: This module makes it possible for you to work with dates and calendars in your Python code.

Example: import calendar; print(calendar.monthrange(2020, 1))

hashlib: This module provides various secure hash functions.

Example: from hashlib import sha256; print(sha256(b"Hello World").hexdigest())

And that's just a small taste of the many built-in Python modules available! With these modules at your disposal, you can create all sorts of interesting and useful programs. Happy coding!

References:

https://www.w3schools.com/python/default.asp https://docs.python.org/3/library/index.html

What modules come preinstalled with Python?

When you download and install the official Python interpreter from python.org, several modules are included as part of the standard library, which means they come pre-installed with Python.

Some of these built-in modules include:

random: The random module provides functionality to generate random numbers. It's commonly used in simulations, games, and other applications where randomness is required. time: This module allows you to work with dates and times. You can use it to get the current time or date, calculate time differences, and more. math: The math module provides access to mathematical functions like sine, cosine, tangent, logarithms, exponentials, and more. re (Regular Expressions): This module allows you to work with regular expressions in Python. Regular expressions are a powerful way to search and manipulate text patterns. itertools: The itertools module provides various useful functions for working with iterators. Iterators are objects that allow you to loop over something, such as a list or tuple. os (Operating System): This module provides access to operating system-specific functionalities like file systems, processes, and more. sys: The sys module is used for interacting with the Python interpreter itself, including functions like sys.exit() and sys.argv. statistics: This module provides mathematical statistics functions like mean(), median(), mode(), and variance(). functools: The functools module is a collection of higher-order functions that can be used to create new functions from existing ones or to manipulate the behavior of functions. collections: This module includes several useful data structures, such as dictionaries, lists, sets, and more. socket (Network): The socket module provides support for working with network connections in Python, allowing you to create sockets, send/receive data, and more. json: The json module allows you to work with JSON (JavaScript Object Notation) data structures. You can use it to convert Python objects into JSON strings or vice versa. unittest: This module provides the framework for writing unit tests in Python.

These modules are just a few examples of what's included with the standard Python library. There are many more modules and submodules available, covering a wide range of topics, from string manipulation to data analysis to file I/O operations.