Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

Python remains the leading language for AI, machine learning, data science, automation, and backend application development ...

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Anaconda is ...

When it comes to data science, you have excellent tools at your disposal: pandas and polars for data exploration, skrub for stateful transformations, and scikit-learn for model training and evaluation ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI ...

Python 3.13 is here and finally free of the GIL. Get started with the free-threaded build now. Also, find out why Anaconda is the leading Python distro for data science, explore a generative AI ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...

Python Polars 1.0.0-rc.1 released One of Python’s coolest dataframe-wrangling libraries—already up to 10x faster than Pandas —just got a whole lot cooler. A JIT compiler for CPython Core Python ...

New leader of the National Academy of Sciences Neil Shubin warns: ‘a society that loses science loses the future’.