Python use is surging in data science, thanks to its versatility and its ease of use. But as an interpreted language, Python code can be quite slow, especially compared to hand coded C++. That’s what ...

A drop-in replacement for the CPython interpreter, PyPy uses JIT compilation to speed up the execution of Python programs. Depending on the task, the performance gains can be dramatic.

Once turned on, the code-execution feature can be dynamically leveraged by the model to generate and run Python code and learn iteratively from the results until it gets to a desired final output.

Points of Interest : Anaconda Code allows local execution of Python code within Microsoft Excel. Eliminates reliance on external compute services, enhancing flexibility and control.

The PyPI repository has removed a Python package called 'mitmproxy2' that was an identical copy of the official "mitmproxy" library, but with an "artificially introduced" code execution vulnerability.

Development of Pyston, a variant of the Python runtime that uses just-in-time compilation to speed up the execution of Python programs, is back on again after a long period of limbo. Picking up ...