Github pulled data on the top AI repositories on-platform. The most popular programming language was Python, and TensorFlow topped the list of projects.

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.

The code is on GitHub and he also links to the generators available in SciPy. We’ve seen SciPy in some Hackaday contest entries before. You can think of it like Matlab for Python.

We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, matplotlib, etc.) are supported. If you ...