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Summary Python APIs for Data Analysis

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This PDF provides complete and easy-to-understand notes on Python APIs, an essential concept for modern programming and data analysis. What you will learn: Introduction to APIs in Python Definition and types of APIs (REST, Web APIs) HTTP methods (GET, POST, PUT, DELETE) Working with APIs using requests library Handling JSON data API authentication (API keys, tokens) Real-world applications of APIs Python code examples for better understanding This document is perfect for: Engineering students Computer Science learners Beginners learning Python for Data Analysis Students preparing for projects and interviews File Details: Format: PDF Pages: ~8–10 Easy language and structured notes Use this guide to understand APIs and build real-world Python projects.

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Python APIs – Complete Study Notes
Introduction
APIs (Application Programming Interfaces) are a crucial part of modern software
development. They allow different applications to communicate with each other by sending
and receiving data over the internet.

In Python, APIs are widely used for tasks such as fetching data from websites, integrating
third-party services, and building web applications.

For data analysts and developers, understanding APIs is extremely important because many
real-world datasets are accessed through APIs.

This section on introduction helps in deeper understanding of how APIs are used in Python
programming and real-world applications.

This section on introduction helps in deeper understanding of how APIs are used in Python
programming and real-world applications.


Definition
An API is a set of rules and protocols that allows one software application to interact with
another.

In simple terms, APIs act as a bridge between different systems, enabling them to exchange
data.

In Python, APIs are commonly accessed using HTTP requests such as GET, POST, PUT, and
DELETE.

This section on definition helps in deeper understanding of how APIs are used in Python
programming and real-world applications.

This section on definition helps in deeper understanding of how APIs are used in Python
programming and real-world applications.


Types of APIs
There are different types of APIs used in software development.

Web APIs are the most common and are accessed over the internet using HTTP.

REST APIs are widely used because they are simple and scalable.

Other types include SOAP APIs and GraphQL APIs.

, This section on types of apis helps in deeper understanding of how APIs are used in Python
programming and real-world applications.

This section on types of apis helps in deeper understanding of how APIs are used in Python
programming and real-world applications.


HTTP Methods
GET is used to retrieve data from a server.

POST is used to send data to a server.

PUT is used to update existing data.

DELETE is used to remove data from a server.

These methods are essential for interacting with APIs.

This section on http methods helps in deeper understanding of how APIs are used in Python
programming and real-world applications.

This section on http methods helps in deeper understanding of how APIs are used in Python
programming and real-world applications.


Working with APIs in Python
Python provides several libraries to work with APIs, with the most popular being the
requests library.

This library allows developers to send HTTP requests easily and handle responses.

It simplifies the process of interacting with APIs.

This section on working with apis in python helps in deeper understanding of how APIs are
used in Python programming and real-world applications.

This section on working with apis in python helps in deeper understanding of how APIs are
used in Python programming and real-world applications.


Example – GET Request
Example Python code:

import requests

url = 'https://api.github.com'

response = requests.get(url)

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