Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Helping software engineers level up! I share content for general... Python is a powerful and versatile programming language that has become increasingly popular. Today we’re going to explore how you ...

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 ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

Over the last month, Google has announced a number of advancements to how they will be measuring user experience through key speed and performance metrics. Coincidentally, I have been working on ...