Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

A few months ago, I had a discussion with some friends online. The premise of the discussion was that even if you account for complexity, shorter code is more likely to be bug-free code. As a C ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...

Guido van Rossum, who created popular programming language Python 30 years ago, has outlined his ambitions to make it twice as fast – addressing a key weakness of Python compared to faster languages ...

Spiffy and convenient as Python is, most everyone who uses the language knows it’s comparatively creaky—orders of magnitude slower than C, Java, or JavaScript for CPU-intensive work. But several ...

From simple timers and benchmarking modules to sophisticated stats-based frameworks, look to these tools for insight into the performance of your Python program. Every programming language has two ...