Reading a file_obj in Python is a common task for many developers. Whether it's a text file, a JSON file, or any other type of file, Python provides simple and efficient methods for reading and processing file content. One of the most common ways to read a file_obj in Python is to use the open() function to create a file_obj object and then use methods like read(), readline(), or readlines() to read the content. Here's a simple example of how to read a text file in Python: file_obj = open('example.txt', 'r') content = file_obj.read() print(content) file_obj.close() This code opens a file called example.txt in read mode, reads its content using the read() method, and then prints the content to the console. It's important to remember to always close the file_obj after reading it using the close() method to free up system resources. Additionally, Python provides a with statement that automatically closes the file_obj for you after the block of code is executed. Here's an example of reading a file_obj using the with statement: with open('example.txt', 'r') as file_obj: content = file_obj.read() print(content) Using the with statement is a safer and cleaner way to read files in Python. When working with JSON files, Python provides the json module to easily read and write JSON data. Here's an example of reading a JSON file in Python: import json with open('data.json', 'r') as file_obj: data = json.load(file_obj) print(data) In this example, the json.load() method is used to read the JSON content from the file_obj and parse it into a Python dictionary. The data can then be accessed and processed as needed. Reading a file_obj in Python is a fundamental skill that every developer should master. Whether it's for processing data, configuration files, or any other file-related task, understanding how to read and handle file_obj content is essential. By using the open() function, with statement, and modules like json, developers can efficiently read and process file_obj content in Python.