R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...

Compliance continues to drive adoption of trusted open source: We saw the same themes from December present here, underscored ...

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it e ...

A critical pre-authentication remote code execution (RCE) vulnerability in Marimo is now under active exploitation, leveraged ...

Watch the process of welding a project, including preparation, joining, and finishing techniques to create a strong and ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

How AI has suddenly become much more useful to open-source developers ...

Anthropic’s Project Glasswing unites major tech rivals to use Claude Mythos Preview to find and fix critical software ...

In recognition of 21 GenAI risks, the standards groups recommends firms take separate but linked approaches to defending ...

Or, why the software supply chain should be treated as critical infrastructure with guardrails built in at every layer.

Up to four npm packages on Axios were replaced with malicious versions, in one of the most sophisticated supply chain attacks ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] Apr 10, 2026 Read in Browser  Apr 10, 2026 ...