Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

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OpenAI has rolled out a feature named Structured Outputs in its API. This addition ensures that the model-generated outputs adhere to JSON Schemas provided by developers, improving the consistency of ...

Since markdown only supports headings up to level 6, this will not work "correctly" for JSON data with more than 6 levels of nesting. Nested lists might be used for JSON data with more than 6 levels ...

In today’s digital world, data is the backbone of many applications and platforms. As a result, there is a growing need for extracting valuable information from various formats and making it easily ...

Put aside your chicken cutlets and meatloaf and say hello to python curries and satay skewers. Some snake scientists think eating these reptiles—already customary or at least acceptable in parts of ...

If you’re coding tools that use APIs or other online services to retrieve or send data, I imagine you’d love to delve into their documentation. Typically, there are code samples that explain how to ...

Jsno provides functions that turn any Python values into JSON-compatible structures and back. The jsonified data can then be used wherever JSON data is required: it can be dumped into a file, sent ...