Python remains popular for data exploration, processing and engineering Younger developers are still using the coding ...

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Python should focus on the application areas where it's good and for the web that's the backend and for scientific data processing." ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

There are many reasons why Python has emerged as the number one language for data science. It’s easy to get started and relatively forgiving for beginners, yet it’s also powerful and extensible enough ...

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...