Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally. It ...

Python in Excel brings together the best of both worlds. It combines Python’s data analysis and visualization libraries with Excel’s features, allowing users to manipulate and explore data ...

Python programmers can easily utilize Intel DAAL (daal4py) for developing robust, scalable, high performing data processing right out of the box, and immediately take advantage of its features and.

Python remains the leading AI programming language in 2025 due to its simplicity, extensive libraries, and strong community ...

Intel is helping this trend along with its acceleration library, called DAAL (Data Analytics Acceleration Library), ... How to use the new Python Installation Manager tool for Python 3.14. May 27 ...

“Analytics libraries such as NumPy, Pandas, SciPy, and several others have created an efficient way to build and test data models for use in analytics,” said Matt Ratliff, who is a Senior Data ...

And Pewtils and Pew Analytics are just two of many internal libraries that we hope to share with the Python community and continue developing in the months ahead. In the meantime, we encourage you to ...

Crunch more data, build code faster with top compilers and libraries, and take advantage of the incredibly wide vector registers on today’s and tomorrow’s Intel® processors.