json.load() in Python Last Updated : 03 Jul, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report json.load() function in Python is used to read a JSON file and convert it into a Python object, such as a dictionary or a list. JSON (JavaScript Object Notation) represents data as key/value pairs, where keys are strings and values can be different JSON data types.Syntaxjson.load(file_object)Parameters: It takes file object as a parameter.Return: It return json object.ExampleLet’s say we have a JSON file named data.json with the following structure:json.loadWe can read the file and access its content using json.load() as shown below: Python import json # Opening JSON file with open('data.json', 'r') as f: # Parsing the JSON file into a Python dictionary data = json.load(f) for i in data['emp_details']: print(i) # Closing file f.close() Output: Comment More infoAdvertise with us Next Article json.load() in Python R rakshitarora Follow Improve Article Tags : Python Python-json Practice Tags : python Similar Reads json.loads() in Python JSON is a lightweight data format used for storing and exchanging data across systems. Python provides a built-in module called json to work with JSON data easily. The json.loads() method of JSON module is used to parse a valid JSON string and convert it into a Python dictionary. For example:Pythoni 4 min read json.dump() in Python json.dump() method in Python is used to serialize a Python object into a JSON formatted string and write it directly into a file. This method is part of the built-in json module, which is useful when you need to save Python data structures like dictionaries or lists in JSON format.Syntaxjson.dump(ob 5 min read Python JSON Python JSON JavaScript Object Notation is a format for structuring data. It is mainly used for storing and transferring data between the browser and the server. Python too supports JSON with a built-in package called JSON. This package provides all the necessary tools for working with JSON Objects i 3 min read json.loads() vs json.loads() in Python orjson.loads() and json.loads() are both Python methods used to deserialize (convert from a string representation to a Python object) JSON data. orjson and json are both Python libraries that provide functions for encoding and decoding JSON data. However, they have some differences in terms of perfo 4 min read numpy.load() in Python numpy.load() function return the input array from a disk file with npy extension(.npy). Syntax : numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII') Parameters: file : : file-like object, string, or pathlib.Path.The file to read. File-like objects must support the 2 min read Like