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 ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Programming computers used to be harder. Don’t get us wrong — today, people tend to solve harder problems with computers, but the fundamental act of programming is easier. We have high-level languages ...

Findings by Hopkins researchers suggest that all humans are equipped with the foundation needed to learn programming ...

New research finds that a natural aptitude for learning languages is a stronger predictor of learning to program than basic math knowledge. Want to learn to code? Put down the math book. Practice ...

This is your brain on computer programming. The post How learning computer programming ‘rewires’ parts of the brain appeared ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...

New research might widen access to learning computer programming. Source: skynesher/iStock It is routinely assumed that to be a computer programmer—to write code, in other words—you need to be good at ...