[ Overview of REST APIs¶ Let us get an overview of REST APIs. REST based APIs are extensively used for building large scale applications. REST stands for Representational State Transfer. It is extensively used to build modern applications as it simplifies the process of building complex and large scale applications. Here are the use cases …
[ Processing REST Payloads¶ As part of this section or module, we will go through the details related to Processing REST Payloads using Python. Overview of REST APIs Using curl command Overview of Postman Getting Started with requests Convert REST Payload to Python Objects Process REST Payload using Collection Operations Process REST Payload using Pandas …
[ Write to JSON files using pandas¶ Let us understand how to write to JSON files using pandas module. We can use to_json to write to JSON file using pandas. In [1]: import pandas as pd In [2]: courses = [{‘course_name’: ‘Programming using Python’, ‘course_author’: ‘Bob Dillon’, ‘course_status’: ‘published’, ‘course_published_dt’: ‘2020-09-30’}, {‘course_name’: ‘Data Engineering using Python’, ‘course_author’: …
[ Write to JSON files using json module¶ Let us understand how to write to JSON files using json module. We can use dump to save JSON data to files. We can also generate a JSON string from a dict using dumps. In the below example we will see how to dump a dict to …
[ Common Use Cases for JSON¶ Here are some of the common use cases for JSON. Read data from JSON files. Write data to JSON files. We can use either json or pandas modules to read data from JSON files or write data to JSON files. One need to be familiar with both the approaches …
[ Different JSON Formats supported by Pandas¶ Let us go through the details about different standard JSON formats supported by Pandas. Here are the arguments we need to pass to read_json or to_json for respective JSON formats. orient=split – columns, index, and data are separated. orient=records – array of json documents (eg: courses.json) lines=True – …
