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 ...

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

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 ...

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 ...

When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...

Python is now one of the fastest-growing programming languages being used globally and supports machine-learning-based ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...

This sponsored post covers how Intel Performance Libraries are working to ramp up python performance. Surprise! Python* is now the most popular programming language, according to IEEE Spectrum’s fifth ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...