We talk to Pure Storage’s vice-president of AI infrastructure about data quality for artificial intelligence and the need for data engineering to ensure the integrity, completeness and appropriateness ...

The DPA Cyber Skills today for Economic Growth Tomorrow meeting discussed how employers seek changing skills to help them succeed against evolving cyber security challenges.

By offering transparent tooling and clear implementation examples, OpenAI is pushing agentic systems out of the lab and into ...

Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Cai, Y. , Hu, J. , Zhu, J. and Zhu, J. (2025) A Multi-Dimensional Analysis and Governance Study of Online Public Opinion after the Enactment of China’s “Preschool Education Law” —Based on Python ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Discover how Fujitsu’s LLM vulnerability scanner uncovers hidden AI risks and vulnerabilities, plus learn best practices for ...

When I refer to Python, I don’t mean to use a dedicated Python app in favor of Excel. Of course, it comes with several advantages, but nothing beats a direct Python integration ...

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

The recently launched Agents API positions the Paris-based startup as a direct competitor to major platforms from other model providers.

In this overview, Leila Gharani explores how integrating Python into Excel redefines how you handle external data. From establishing live connections to datasets using Power Query to using Python ...

Translation between R and Python objects (for example, between R and Pandas data frames, or between R matrices and NumPy arrays). Flexible binding to different versions of Python including virtual ...