The key difference between JSON and YAML are: What's the difference between JSON and YAML format? It is very useful in situations where we have to convert data between different serialization formats while working on an application. In this article, we have learned how to convert JSON to YAML in python using the PyYAML library. So, the YAML output is printed out on the console/terminal. Next, we have used json.loads() method to convert the json data to Python dictionary.Īnd finally, using the yaml.dump() method we have converted the dictionary to YAML format. We have defined the JSON data as a string and stored it in the variable json_data. To install open your terminal and type the following: We will use the PyYAML library in this article.įirst, we have to install the PyYAML library. In python, we get several libraries that we can use to convert JSON to YAML format. It is a superset of JSON which means we can parse any JSON data to YAML easily using a YAML parser. It is a human-readable data-serialization language that is commonly used to write configuration files and in applications where data are stored or transmitted. YAML stands for Yet Another Markup Language.

JSON is primarily used to transmit serialized structured data from a web-server to a web application as an alternative to XML. It is the data interchange format that is easy to read and write. JSON stands for Javascript Object Notation. In this article, we will learn how we can convert JSON data to YAML using Python. Even though JSON format is widely used to build many applications at present, there are times when we might need to convert JSON data to YAML. And because of its readability and ease of use, it becomes an excellent alternative to JSON. Nowadays, the use of YAML as data serialization has increased significantly.

Python convert json to xml