Real Python
realpython.com › python-json
Working With JSON Data in Python – Real Python
August 20, 2025 - Its syntax resembles Python ... lowercase for Boolean values. With built-in tools for validating syntax and manipulating JSON files, Python makes it straightforward to work with JSON data. By the end of this tutorial, you’ll understand that:...
W3Schools
w3schools.com › python › python_json.asp
Python JSON
You can convert Python objects of the following types, into JSON strings:
Videos
20:34
Python Tutorial: Working with JSON Data using the json Module - ...
13:22
JSON Tutorial in Python
03:30
How to Work with JSON Data in Python | Parse, Read & Write JSON ...
How To Use JSON In Python
13:22
JSON Tutorial in Python - YouTube
19:51
Using JSON in Python: Essential Skills for Python Programming - ...
DataCamp
datacamp.com › tutorial › json-data-python
Python JSON Data: A Guide With Examples | DataCamp
December 3, 2024 - Learn how to work with JSON in Python, including serialization, deserialization, formatting, optimizing performance, handling APIs, and understanding JSON’s limitations and alternatives.
Medium
medium.com › data-science › working-with-json-data-in-python-45e25ff958ce
JSON in Python Tutorial | TDS Archive
August 11, 2021 - Writing to json files, reading from json files explained and illustrated with examples in python.
Tutorialspoint
tutorialspoint.com › python › python_json.htm
Python - JSON
The json module provides functions to work with JSON data, allowing you to serialize Python objects into JSON strings and deserialize JSON strings back into Python objects. JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is mainly used to transmit data between a server and web application as text. JSON serialization is the process of converting a Python object into a JSON format.
PYnative
pynative.com › home › python › json
Python JSON – PYnative
In this tutorial, we'll see how we can create, manipulate, and parse JSON in Python using the standard a json module. The built-in Python json module provides us with methods and classes that are used to parse and manipulate JSON in Python. JSON (an acronym for JavaScript Object Notation) is ...
GeeksforGeeks
geeksforgeeks.org › python › python-json
Python JSON - GeeksforGeeks
December 23, 2025 - Perform additional JSON operations in Python, including formatting, pretty-printing, flattening nested objects, validating JSON strings, and sorting JSON data by values.
The New Stack
thenewstack.io › home › python for beginners: how to use json in python
Python for Beginners: How to Use JSON in Python - The New Stack
March 9, 2023 - Python for Beginners: How to Use JSON in Python · tutorial, Data / Python / Software Development · How to parse JSON files within a Python program. May 1st, 2022 5:00am by Jack Wallen · JSON is an outstanding way of storing and transferring data.
Python Land
python.land › home › data processing with python › json in python: how to read, write, and parse
JSON in Python: How To Read, Write, and Parse • Python Land Tutorial
January 13, 2023 - Learn how to read and parse JSON, read and write JSON to a file, and how to convert Python data types to JSON.
Programiz
programiz.com › python-programming › json
Python JSON: Read, Write, Parse JSON (With Examples)
In this tutorial, you will learn to parse, read and write JSON in Python with the help of examples. Also, you will learn to convert JSON to dict and pretty print it.
freeCodeCamp
freecodecamp.org › news › how-to-use-the-json-module-in-python
How to Use the JSON Module in Python – A Beginner's Guide
June 5, 2023 - It is named JSON because it closely mimics the syntax used in JavaScript objects. In this tutorial, you will explore the JSON module in Python and learn how to effectively work with JSON data.
GitHub
gist.github.com › pknowledge › 1e11a88ac3bc1dce09cc12a37951c0d1
Python Tutorial for Beginners 43 - Working With JSON Data in Python · GitHub
Python Tutorial for Beginners 43 - Working With JSON Data in Python - python_json_example.py
Reddit
reddit.com › r/python › learn how to use json as a small database for your py projects by building a hotel accounting system
r/Python on Reddit: Learn How to Use JSON as a Small Database for Your Py Projects by Building a Hotel Accounting System
August 22, 2024 -
This is the first free tutorial designed to help beginners learn how to use JSON to create a simple database for their projects.
It also prepares developers for the next two tutorials in our "Learn by Build" series, where we'll cover how to use the requests library, build asynchronous code, and work with threads.
and by time we will add extra more depth projects to enhance your pythonic skills
find tutorial in github https://github.com/rankap/learn_by_build/tree/main/tut_1_learn_json
Top answer 1 of 5
15
u/RevolutionaryAd8906 , I appreciate your good intentions in creating a beginner-friendly tutorial like this. JSON is a core technology that anyone working with modern APIs should understand, and it's important to make learning accessible for beginners. That said, your mindset of setting up JSON to be thought of as a "database" is perhaps sub-optimal ... while it's useful to teach data persistence early on, positioning JSON as a database can set beginners up for struggles down the line. I think you know this, and I see where you're going with it, but fundamentally it sets up a paradigm in the heads of new programmers that is misaligned with best practices. JSON files are easy to use and understand, making them great for small projects or single-user applications. Maybe a to-do list or managing simple configuration settings, storing user preferences, tracking small collections (e.g., book or movie lists). JSON works well if the scale is very limited. The progression from using JSON for data storage to interacting with APIs is logical and effective. However the limitations of JSON are very quickly apparent: Scalability: JSON is not designed for large datasets (like managing a hotel............. maybe suggest a different example in your HOW TO?) Performance degrades significantly with thousands of records, as the entire file must be read and written each time. RAM also becomes a limiting factor. Beyond a few thousand records, load and save times will noticeably degrade, especially with detailed records. Concurrency: JSON does not handle concurrent access. When multiple users or processes interact with the data, conflicts and errors are likely. Traditional databases manage this with record locking, transactions, and ACID compliance. Data Integrity and Security: JSON lacks built-in features for enforcing data types, constraints, or relationships. Storing sensitive information in plain-text JSON without encryption is risky (like the hotel guests credit card numbers and addresses...??) Databases like SQLite or even NoSQL options like MongoDB help mitigate these issues. Integrating databases from the beginning with new programming students can be valuable and I would argue worth doing. It seems to me you're kicking a can down the line and instilling a bad notion in their heads that they can use JSON as a flat file database. SQLite, for instance, requires minimal setup and offers skills that are more transferable to complex projects. It introduces concepts like relationships, querying, and data normalization, which can save a lot of headaches later on. I wonder if there's a middle ground where you introduce data persistence with JSON, and then transition to something like SQLite or an ORM in short order? This would help beginners avoid the pitfalls of using JSON beyond its intended use while still learning important concepts in a manageable way. Anyway ... not trying to criticize too harshly, but I think this is a misguided way to teach what JSON is all about.
2 of 5
8
Students would be far better served by studying examples of database centered applications built around SQLite (an SQL standards compliant database system embedded in the Python standard libraries). JSON is not suitable as a format for database management. None of the JSON accessibility APIs provides support for ACID transaction management, record (table nor row level) locking, schema definition and enforcement, normalization and JOINs, no indexing. This is a lot of code you'd have to write into the front end that no sane, modern, production database application would implement. Database management engines implement those features. Students are better served using tools and frameworks which offer features and APIs similar to those used in real world, production applications.
Python Engineer
python-engineer.com › courses › advancedpython › 11-json
JSON - Advanced Python 11 - Python Engineer
Encoding a custom object with the default JSONEncoder will raise a TypeError. We can specify a custom encoding function that will store the class name and all object variables in a dictionary.
GeeksforGeeks
geeksforgeeks.org › python › working-with-json-data-in-python
Working With JSON Data in Python - GeeksforGeeks
January 4, 2019 - Using Python's context manager, create a file named Sample.json and open it with write mode. Here, the dump() takes two arguments first, the data object to be serialized and second the object to which it will be written(Byte format).
SitePoint
sitepoint.com › blog › programming › working with json files in python, with examples
Working with JSON Files in Python, with Examples — SitePoint
November 7, 2024 - Learn how to read, write and parse JSON in Python, with helpful examples, and explore popular modules in Python for working with JSON.
freeCodeCamp
freecodecamp.org › news › how-to-parse-json-in-python-with-examples
How to Parse JSON in Python – A Complete Guide With Examples
October 29, 2025 - You'll use it to convert JSON strings into Python dictionaries and lists that you can manipulate with familiar syntax, and then convert your Python data structures back into JSON when you need to send data to an API or save it to a file. Beyond basic parsing, you'll often need to handle nested structures, validate data integrity, manage, and transform data formats.
The Hitchhiker's Guide to Python
docs.python-guide.org › scenarios › json
JSON — The Hitchhiker's Guide to Python
d = { 'first_name': 'Guido', 'second_name': 'Rossum', 'titles': ['BDFL', 'Developer'], } print(json.dumps(d)) '{"first_name": "Guido", "last_name": "Rossum", "titles": ["BDFL", "Developer"]}' This opinionated guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis. This guide is now available in tangible book form!
Reddit
reddit.com › r/python › handling json files with ease in python
r/Python on Reddit: Handling JSON files with ease in Python
May 29, 2022 -
I have finished writing the third article in the Data Engineering with Python series. This is about working with JSON data in Python. I have tried to cover every necessary use case. If you have any other suggestions, let me know.
Working with JSON in Python
Data Engineering with Python series
Better Stack
betterstack.com › community › guides › scaling-nodejs › json-data-in-python
Working With JSON Data in Python | Better Stack Community
Learn how to efficiently handle JSON data in Python with the built-in `json` module. This guide covers serializing Python objects to JSON, deserializing JSON back to Python dictionaries, formatting JSON for readability, and validating JSON data using JSON Schema...