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.

Python often gets a bad rap in terms of performance. Critics often move the goal posts mid-discussion, either unintentionally or simply to get a rise out of Python developers. Here's a typical ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

The concept of an “accelerated Python” is relatively new, and it’s made Python worth another look for Big Data and High Performance Computing (HPC) applications. Thanks to some Python aficionados at ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...