Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists The conventional wisdom about Python is that it makes ...

Python’s DataFrame functionality provides a robust framework for conducting advanced statistical analysis. By using these tools, you can uncover patterns, relationships, and trends that might ...

Aug. 22, 2023 — Anaconda Inc., the provider of one of the world’s most widely used and trusted data science and AI platforms, today announced the beta availability of Anaconda Distribution for Python ...

The new pattern matching statements would give Python programmers more expressive ways of handling structured data, without having to resort to workarounds. Pattern matching is a common feature of ...

Sept. 8 — Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, is pleased to announce a technical collaboration with Intel ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python ... astrophysics and ...

The core of R was developed during the 1970s and since then, many libraries (such as the Tidyverse for data manipulation ... writing and executing Python interactively (one or a few lines at a time) ...

Anyway, the final black swan for Python is the assumption that Python code distribution doesn't matter, which in Szorc's words, could be an "existential threat" to the language's longevity.