In this comprehensive guide, we’ll ... and how Python seamlessly integrates with it. JSON is a text-based data interchange format that is easy for humans to read and write. It is language-agnostic, meaning it can be used with any programming language. Key characteristics include its simplicity, lightweight ... More on accuweb.cloud

I read two concrete questions from your post: why you would want to create a JSON object Imagine you want multiple software systems to communicate. Let's say we have three systems, one written in Python, one client written in JavaScript and one more backend system in Java. You can't just send Python objects over a network and expect the systems written in JS or Java to understand them. Same thing the other way around. In the end it's just electrical signals and both the sender and receiver need a common understanding of how to interpret those signals, otherwise they will just be gibberish. That's where data formats like JSON come into play: It's a simple and standardized data format that can be handled in any modern programming language. Now your Python code can serialize its internal representation of a piece of data into this format and send it over a network or store it on some disk, where some other system will eventually pick it up, deserialize it into its own internal representation and process it. show how you would create a JSON object with python import json data = {"year": 2020, "sales": 12345678, "currency": "€"} # creating a JSON string json_string = json.dumps(data) # storing it in a file with open("data.json", "w") as json_file: json.dump(data, json_file) More on reddit.com

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. More on reddit.com

Looks good. Considered discussing dataclasses/pydantic with json? I found that these go well together More on reddit.com