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.

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

DAAL handles BIG data much better than in-core libraries can If you know about Intel’s Math Kernel Library (MKL), you might immediately wonder “why DAAL”? Data scientists have been using MKL ...

In conclusion, Python has a rich ecosystem of image processing libraries that can be used for various tasks in computer vision.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

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

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Our new Pew Analytics package contains a collection of tools designed to make these tasks easier, including: TextCleaner: There are a variety of ways to preprocess text data and prepare it for ...

Excel gets containerized, cloud-based Python analytics and visualization powers Visualization and analytics tools available in preview, but may be paywalled.