NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

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

These are my go-to libraries for Python data crunching.

A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs. Python has a ...

Python, SQL, and Pandas form the foundation of modern data science.Hands-on practice with Kaggle and Google Colab strengthens practical skills.Vi ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...