Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...

I did a podcast look at the various versions and implementations of Python, including Python 3, Python 2, PyPy, IronPython, Jython, Stackless, Psycho, Shedskin, Cython, Unladen Swallow, etc. I'd ...

Faster Python programming: How these developers built Pyston, and where it goes next Your email has been sent Python implementation Pyston aims to speed up the programming language's code for web ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...

The switch from Python 2 to Python 3 has been rocky, but all signs point to Python 3 pulling firmly into the lead. It’s broadly compatible with several libraries, a major third-party implementation of ...