PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.

Devs unknowingly use “malicious” modules snuck into official Python repository Code packages available in PyPI contained modified installation scripts.

Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...