Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

In a world where data is the key to business success, data engineers are the architects of transformation. Harsha Kamma is one such architect, driving groundbreaking change in how companies handle ...

Data has always been regarded as an organisation’s crown jewels, but due to the explosion of data sources, making sense of the structured and unstructured information contained within an enterprise’s ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Alan Jacobson in his role as ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. This as-told-to essay is based on a conversation with Chris Mattmann, a 44-year-old data scientist ...