Fast to run: It offers very high performance, on par with NodeJS and Go, thanks to Starlette and pydantic.What Is FastAPI?įastAPI is a modern, high-performance web framework for building APIs with Python based on standard type hints. You will also benefit from using a virtual environment, as is the case for any Python project.įree Bonus: 5 Thoughts On Python Mastery, a free course for Python developers that shows you the roadmap and the mindset you’ll need to take your Python skills to the next level. To get the most out of this tutorial, it would be helpful for you to know the basics of what HTTP is and how it works, what JSON is, and Python type hints. It contains a careful selection of fragments from the official documentation, avoiding getting lost in technical details while helping you get up to speed as fast as possible. This tutorial is written by the author of FastAPI. Continue learning about FastAPI for your use cases.Use API best practices, including validation, serialization, and documentation.Receive JSON data in your requests using pydantic.Use path parameters to get a unique URL path per item.
In this tutorial, you will learn the main concepts of FastAPI and how to use it to quickly create web APIs that implement best practices by default.īy the end of it, you will be able to start creating production-ready web APIs, and you will have the understanding needed to go deeper and learn more for your specific use cases.
Watch it together with the written tutorial to deepen your understanding: Python REST APIs With FastAPIĬreating APIs, or application programming interfaces, is an important part of making your software accessible to a broad range of users. Import Now This tutorial has a related video course created by the Real Python team. If your IDE doesn’t automatically download them for you, copy these dependencies into the pom.xml file.Īfter you have ensured the dependencies exist, run the following code from your favorite code editor. Note: The code examples shown in this section require you to download maven dependencies. You can write this program on Intellij Idea and compile it using Java version 16.
This program uses MongoDB Driver 4.3.0-beta 2. You can use a Java program, shown below, to import a JSON file into your MongoDB Atlas Cluster using Java and the MongoDB Java Driver. How to import JSON into MongoDB using Java Consult MongoDB’s official documentation on mongoimport for more information. You can even import various other file formats such as TSV or CSV using mongoimport. and refer to the name of the database and the collection, into which you want to import the JSON fileįinally, is the full path and name of the JSON file you wish to import. and are the username and password of the database user and refers to the cluster that holds the database. You can get the connection string to your cluster from the Data Import and Export Tools section located under Command Line Tools in your MongoDB Atlas cluster. mongoimport -collection -type json -file To do so, run the following command in your terminal. One of those tools is mongoimport, which can be used to import a JSON file into one of your collections.
sudo apt install mongo-toolsĪfter installing mongo-tools, you will have access to a series of CLI tools that can be used to interact with your MongoDB cluster. Run the following command from the terminal of your favorite Debian-based system, such as Ubuntu, to install MongoDB tools. To import JSON documents into MongoDB using Linux, open the terminal and install MongoDB tools.