Built-In Modules in Python

Some important built-in modules :

Below are some of the important built-in modules form the Pyhton's standard library that comes bundled with the Python language installation.

• 'math' module :
  The 'math' module provides a comprehensive set of mathematical functions and constants. It allows us to perform operations like trigonometry, logarithms, exponentiation, and more. Some commonly used functions include 'sqrt()', 'sin()', 'cos()', and 'pi'.


• 'datetime' module :
  The 'datetime' module offers classes for working with dates, times, and time intervals. It allows us to perform operations such as creating, manipulating, and formatting dates and times. You can work with objects like 'datetime', 'date', 'time', and 'timedelta'.


• 'random' module :
  The 'random' module provides functions for generating pseudo-random numbers. It allows us to simulate randomness and perform tasks such as generating random numbers, shuffling lists, and selecting random elements. Functions like 'random()', 'randint()', 'choice()', and 'shuffle()' are commonly used.


• 'os' module: :
  The 'os' module provides functions for interacting with the operating system. It allows us to perform tasks such as working with files and directories, accessing environment variables, executing commands, and more. Functions like 'os.getcwd()', 'os.listdir()', 'os.path.join()', and 'os.system()' are frequently used.


• 'sys' module :
  The 'sys' module provides access to system-specific parameters and functions. It allows us to interact with the Python interpreter, handle command-line arguments, manage the runtime environment, and more. Commonly used features include 'sys.argv', 'sys.exit()', and 'sys.platform'.


• 'json' module :
  The 'json' module enables encoding and decoding JSON (JavaScript Object Notation) data. It allows us to serialize Python objects into JSON format and vice versa. Functions like 'json.dumps()', 'json.loads()', and 'json.dump()' are valuable for working with JSON data.

Importing and Using Built-in Modules :

To use a built-in module, we need to import it into your Python script.

For example:

              
                
                  import math
                  ...
                  result = math.sqrt(25)
                  print(result)  # Output: 5.0
                
              
            

In this example, we import the math module and use its sqrt() function to calculate the square root.

Additional Built-in Modules :

Apart from the aforementioned modules, the Python standard library also offers other built-in modules related to various domains.
Some notable mentions include:

• 'collections': Provides additional data structures like 'deque', 'Counter', and 'OrderedDict'.


• 'csv': Facilitates reading and writing CSV (Comma-Separated Values) files.


• 're': Enables regular expression operations for pattern matching and text manipulation.


• 'sqlite3': Offers an interface for working with SQLite databases.
• 'http': Provides modules for HTTP-related operations, such as http.client and http.server.

References :

To fully leverage the power of built-in modules, it's important to explore the Python standard library documentation and get familiarized with the available modules and their functionalities. The documentation provides detailed explanations, usage examples, and guidelines for using each module effectively.