CSV is a simple and widely-used file format for storing tabular data, which can be easily processed using tools like Microsoft Excel, Google Sheets, or programming languages like Python.
This is where CSV (Comma-Separated Values) comes in. While JSON is great for representing data in a structured format, it’s not always the best option when it comes to analyzing or manipulating data.
One such data format is JSON (JavaScript Object Notation), which is a lightweight data-interchange format widely used for exchanging data between web servers and clients. In today’s world, where data is growing at an unprecedented rate, it’s important to know how to work with different data formats to extract insights and derive meaningful information. How to Convert JSON to CSV Using Python: A Beginner’s Guide
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