- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Requests Library
Requests Library in Python
Request Library is a simple HTTP library for Python that makes it easy to send HTTP requests and interact with web applications. It bypasses the complexity of making HTTP requests and handling responses, making it one of the most widely used libraries for web scraping, API interactions, and downloading files.
requests is a Python library that allows users to make HTTP/1.1 requests using Python, including GET, POST, PUT, DELETE, and other methods. It makes it easy to send requests to web servers, retrieve their responses, and manipulate the received data.
Features of Request:
- Easy to use: Simplifies sending HTTP requests, handling responses, and handling errors.
- Supports all HTTP methods: Easily handles GET, POST, PUT, DELETE, HEAD, and other HTTP methods.
- Handle cookies, headers, and sessions: Automatically manages cookies and sessions, making it easier to maintain state between requests.
- Supports JSON: It can easily process JSON data in requests and responses, making it ideal for interacting with APIs.
Installation
We can install the request Libray using the following command.
pip install requestExample
This example illustrates the use of a request.
import requests
# Send a GET request to a webpage
response = requests.get('https://example.com')
# Check the status code of the response
print(response.status_code) # Output: 200 (for success)
# Access the response content (HTML content of the webpage)
print(response.text)Why use request?
- Human Readable Syntax: Its syntax is intuitive and resembles plain English text, making it suitable for beginners.
- Efficient: Handles many HTTP components, such as redirects, headers, and cookies, without additional configuration.
- Works with APIs: Built-in support for sending JSON in requests and processing JSON in responses, ideal for interacting with REST APIs.
Common Request methods:
- requests.get(): Used to retrieve data from the (most used) server.
- requests.post(): Used to send data to the server.
- requests.put(): Used to update or modify data on the server.
- requests.delete(): Used to delete data from the server.
Example
Following is the example of the post request:
import requests
# Define the URL and payload
url = 'https://httpbin.org/post'
payload = {'key1': 'value1', 'key2': 'value2'}
# Send a POST request
response = requests.post(url, data=payload)
# Print response details
print(response.json()) # Output: JSON response from the serverThe query library is a powerful tool for interacting with websites and APIs in Python. Its simplicity and ease of use make it the go-to library for tasks involving sending and receiving HTTP requests.
