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

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

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 ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...

Nowadays, organizations need to migrate and move data from the Oracle database to various data lakes, such as Microsoft Fabric and Snowflake. These data lakes are used in data analytics and by data ...

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 ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Artificial intelligence (AI) has taken huge leaps forward in the last 18 months with the development of sophisticated large language models. These models, including GPT-3.5, GPT-4, and open source LLM ...

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 ...