- Key Modules Used in Python:
os-This module provides various functions for interacting with the operating system. Along with this, it facilitates file and directory operations along with path manipulation. Furthermore, this solution also provides environment variable access and also deals with process management
sys- The purpose of this module is to provides access to system-specific parameters and functions. Along with his, it facilitates command-line arguments along with system exit. Furthermore, this solution helps in tasks like path manipulation and also provides great platform-specific information.
math- This module provides mathematical functions for various calculations. Along with this, its key features consist of trigonometric functions like sin, cos, tan, etc and logarithmic functions like log, exp. Furthermore, it is also beneficial for managing the mathematical operations.
random- Its primary purpose is to generate the random numbers and performs random sampling. Along with this, it also facilitates number generation and also helps in sampling from sequences. Furthermore, it is also useful for shuffling sequences.
datetime- It is useful for providing the classes for working with dates and times. Furthermore, it helps in managing the date and time objects and also facilitates the timezone handling. Above all, this solution also facilitates the date and time calculations.
time- The primary purpose of this module is to provide the functions for measuring time and performing time-related tasks. Along with this, its key features include time measurement (sleep, clock) and time conversions (time to string, string to time).
re- the primary purpose of this module is to provide regular expression matching operations. Along with this, it also facilitates pattern matching and also provides features of Search and replace. Furthermore, this solution also assists in grouping and capturing.
json- This solution provides functions for encoding and decoding JSON data. Alng with this, it facilitates the process of loading JSON data from files or strings. Along with this, it also helps in dumping Python objects to JSON format. Furthermore, this solution is useful for customizing encoding and decoding behavior.
csv- The primary use of this module is to provide various functions for reading and writing CSV files. Along with this, it also helps in reading CSV data into lists or dictionaries. This solution also facilitates writing the data to CSV files. Above all, it also customizes the CSV dialect and formatting
urllib- This is useful for providing the functions for working with URLs. Along with this, it is useful for opening URLs and retrieving data. Furthermore, this solution helps in parsing URLs and handling the HTTP requests and responses.
collections- The primary purpose of this module is to specialize the container data types. Along with this, it includes defaultdict which is dictionaries with default values. Furthermore, it also consists of OrderedDict which is dictionaries that preserve insertion order.
functools- These are useful for providing the higher-order functions for functional programming. Along with this, their key features include the partial application for creating new functions with some arguments pre-filled. It also helps in reducing the functions for combining elements of a sequence.
itertools- This module is useful for providing the tools for creating iterators. Along with this, its key features consist of Infinite iterators such as count, cycle, repeat and combinatoric iterators like product, permutations, combinations. Furthermore, this solution also helps in slicing and splitting iterators.
hashlib- The primary purpose of this module is to provides functions for computing cryptographic hashes of data. Along with this, it helps in hashing algorithms such as MD5, SHA1, SHA256, SHA384, SHA512. It also provides HMAC which refers to keyed-hash message authentication code.
subprocess- This module allows users to spawn new processes and interact with them. Along with this, it helps in running the external commands and capturing standard output and error. Furthermore, it is also useful for piping input and output between processes
logging- The primary purpose of logging module is to provide the functions for logging messages to files or the console. Along with this, ts key features consists of Log levels like DEBUG, INFO, WARNING, ERROR, CRITICAL. It also facilitates log formatting and manages this custom logging handlers.
argparse- This is a popular command-line argument parser useful for parsing command-line arguments. Along with this, it also helps in defining the arguments with types, help messages, and default values.
threading- The primary purpose of threading is to provide various tools for creating and managing threads in Python. Along with this, it also facilitates thread creation, thread synchronization and thread communication.
socket- It is useful for providing the functions for network communication. Along with this, it also helps in creating sockets and connecting to remote hosts. Along with it, this solution also helps in sending and receiving data.
multiprocessing- This module provides various tools for parallel processing using multiple processes. Along with this, its key features include process creation, process synchronization and process communication.
queue- The primary purpose of this solution is to provides thread-safe data structures for queues and stacks. Along with this, its key features consist of Queue (FIFO) data structure, LifoQueue (LIFO) data structure and Priority queues.
copy- This module is useful for provides functions for creating shallow and deep copies of objects. Along with this, it skey features consists of shallow copy for creating a new object with references to the original object's values. Furthermore, it also facilitates Deep copy for creating a new object with copies of the original object's values.
pickle- It is useful for providing the functions for serializing and deserializing Python objects. Furthermore, it offers various features like saving Python objects to files and loading Python objects from files.
email- This is useful for provides various tools for working with email messages. Along with this, it also helps in parsing email messages and creating email messages. Above all, this module helps in sending the email messages
sqlite3- The primary purpose of this module is to provides a built-in SQLite database interface. Furthermore, this also helps in creating and managing SQLite databases. Along with this, it also helps in executing SQL queries and retrieving and manipulating data
xml- This module provides various tools for working with XML data. Along with this, its key features include parsing XML documents and creating XML documents. Furthermore, this solution also helps in transforming XML data using XSLT.
decimal- The primary purpose of this module is to provide support for decimal floating-point arithmetic. Along with this, it provides arbitrary precision decimal numbers and offers great rounding modes. Furthermore, this module also facilitates great mathematical operations.
fractions- It is useful for providing support for rational numbers. Along with this, its significant features include fraction objects and Mathematical operations on fractions. To further know about it, one can visit Python Course Online.
base64- This is useful for providing the functions for encoding and decoding data in base64 format. Along with this, it facilitates encoding binary data to base64 along with decoding base64 data to binary.
shutil- It is useful for providing functions for copying, moving, and deleting files and directories. Along with this, it includes file and directory operations and also helps in copying files and directories recursively.
configparser- This is useful for providing the functions for parsing and manipulating configuration files. Along with this, it also helps in reading and writing configuration files in INI format. FSection and option handling
tkinter- This is useful for providing a GUI toolkit for creating graphical user interfaces. Along with this, it comes with various features such as widgets like buttons, labels, text boxes, etc.). Furthermore, this solution also facilitates great event handling and layout management.
http.server- The primary purpose of this solution is to provide a simple HTTP server for serving static files. Along with this, it also helps in serving the files from a specified directory. Furthermore, it is useful for handling HTTP requests and responses.
nittest- This is useful for providing a framework for unit testing in Python. Along with this, its key features include test cases, test suites, test fixtures and assertions.
doctest- This is useful for extracting the tests from docstrings and running them. Along with this, its features are docstring-based tests along with the example-based testing.
pdb- This is a popular Python debugger for interactive debugging. Along with this, it is useful for stepping through code and setting breakpoints. Furthermore, it is also useful for inspecting variables.
inspect- Its primary purpose is to provide functions for inspecting Python objects. Furthermore, it helps in getting information about functions, classes, and modules.
weakref- This is useful for providing the tools for creating weak references to objects. Along with this, it helps in preventing circular references along with tracking the object's lifetimes.
socketserver- Its primary purpose is to provide a framework for creating network servers. Along with this, its key features consist of TCP and UDP servers and it also helps in handling multiple clients
signal- It is useful for providing the functions for handling signals in Python programs. Along with this, it helps in registering signal handlers and is also useful for sending signals.
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