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Aug 10, 2024 · In this Python program fetches the live stock data for “IBM” from the Alpha Vantage API using the 5-minute interval and prints the opening price.Here we make use of ‘requests’ to make a call and it is checked with the help of status code that whether our request was successful or not.Then the response is converted to python dictionary and the respected data is stored .
- Python Swagger Annotations for API Documentation
@swagger.security: Defines security requirements for the API...
- Python Swagger Annotations for API Documentation
Define endpoints, data, and responses for a REST API; Get started with Python tools to build a REST API; Using your new Python REST API skills, you’ll be able to not only interact with web services but also build REST APIs for your applications. These tools open the door to a wide range of interesting, data-driven applications and services.
- Mastering API Integration For Ai and Data Science
- About This Python API Tutorial
- What Is An API?
- Making API Requests in Python
- Making Our First API Request
- Understanding Common API Status Codes
- API Documentation
- Working with Json Data in Python
- Using An API with Query Parameters
- Concluding This Python API Tutorial
In this tutorial, we'll query a simple API to retrieve data about the International Space Station(ISS). The principles and techniques covered provide a foundation for working with APIs in any context, including more complex APIs for machine learning, natural language processing, and computer vision. As you progress in your AI or data science journe...
This tutorial is based on a part of our interactive APIs and web scraping course in Python, which you can start for free. The course assumes you have some knowledge of working with data in Python. If that's not you, consider trying our free introduction to Python programming course first, if you're interested in data science applications. If you wa...
An API, or Application Programming Interface, is a server that you can use to retrieve and send data to using code. APIs provide essential tools in the world of artificial intelligence (AI) and data science, enabling access to vast amounts of data and powerful computing capabilities. More specifically, APIs play a crucial role in AI and data scienc...
In order to work with APIs in Python, we need tools that will make those requests. The most common library for making requests and working with APIs in Python is the requests library. Since the requests library isn't part of the standard Python library, you'll need to install it to get started. As mentioned earlier, APIs are crucial in the world of...
In this post, we'll learn the basics of making API requests in Python. We'll cover how to make a simple GET request, and how to interpret the status codes that are returned. APIs use many different request types. GET, the most common type, retrieves data. We'll focus on GET requests since we're just working on retrieving data for now. When we make ...
Every request to a web server returns a status code indicating what happened with the request. Here are some common codes relevant to GET requests: 1. 200: Everything went okay, and the result has been returned (if any). 2. 301: The server is redirecting you to a different endpoint. This can happen when a company switches domain names, or an endpoi...
Consulting Documentation for Successful API Requests
When working with APIs, especially in the context of AI and data science, consulting the documentation is crucial for making successful requests. API documentation from providers like OpenAI, Google Cloud AI, or IBM Watson outlines how to effectively use their services.
Key Elements of API Documentation
API documentation typically includes information on available endpoints, required parameters, authentication methods, and expected response formats. For example, the OpenAI API documentation provides detailed guidance on using their language models, such as GPT-4, for various natural language processing tasks.
Exploring the Open Notify API
In this Python API tutorial, we'll work with the Open NotifyAPI, which provides access to data about the international space station. This API is great for learning because of its simple design and lack of authentication requirements.
What is JSON?
JSON(JavaScript Object Notation) is the language of APIs. It encodes data structures for easy machine readability. APIs primarily pass data back and forth in JSON format.
JSON in AI and Data Science
Moreover, in the world of artificial intelligence (AI) and data science, JSON plays a crucial role in enabling different systems to exchange data. Many AI and data science APIs use JSON as the standard format for requests and responses. These include APIs from OpenAI, Google Cloud AI, and IBM Watson. This allows developers to easily integrate AI capabilities from various APIs into their applications. To illustrate, you might have noticed that the JSON output we received from the API looked li...
Working with JSON in Python
Furthermore, Python's json package provides great JSON support. The json package is part of the standard library, so we don't have to install anything to use it. We can both convert lists and dictionaries to JSON, and convert strings to lists and dictionaries. In the case of our ISS Pass data, it is a dictionary encoded to a string in JSON format. The json library has two main functions: 1. json.dumps()— Takes in a Python object, and converts (dumps) it to a string. 2. json.loads()— Takes a J...
The http://api.open-notify.org/astros.jsonendpoint we used earlier does not take any parameters. We just send a GET request and the API sends back data about the number of people currently in space. However, API endpoints commonly require us to specify parameters. This is especially true for APIs used in artificial intelligence (AI) and data scienc...
This example demonstrates the power of APIs to provide real-time data that can be integrated into data science and AI applications. By making API requests and parsing the returned JSON data, we can access up-to-date information on the ISS's location and pass times. This kind of real-time data access is crucial for many AI use cases. For example, we...
Aug 21, 2024 · In order to start working with the REST API through Python, you will need to connect a library to send HTTP requests. The choice of the library depends on the version of Python. If you use Python 2, we recommend using unirest because of its simplicity, speed, and ability to work with synchronous and asynchronous requests.
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- An API (Application Programming Interface) is a set of rules that are shared by a particular service. These rules determine in which format and wit...
- Types of Requests or HTTP Request Methods characterize what action we are going to take by referring to the API.In total, there are four main types...
- In order to work with REST APIs, it is important to understand what an Endpoint is. Usually, an Endpoint is a specific address (for example, https:...
Dec 18, 2023 · Explore the essentials of Python API integration with our comprehensive tutorial. Learn the fundamentals of making API requests, decoding status codes, working with JSON data, and leveraging query parameters. Uncover the power of APIs and take your Python skills to the next level. Start your journey today.
- team@moesif.com
Jul 1, 2024 · @swagger.security: Defines security requirements for the API operation. How These Annotations Work. Docstrings: The docstrings (triple-quoted strings) are used to describe the purpose of the method. When processed by tools like Flask-Swagger, these strings are parsed to generate the API documentation.
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Jul 24, 2023 · In this tutorial, you'll learn what APIs are and how to consume them using Python. You'll also learn some core concepts for working with APIs, such as status codes, HTTP methods, the requests library, and much more. You'll also see a few examples of real-life APIs and how to consume them.
