Python Power: Intel SDK Accelerates Python Development and Execution

It should be no surprise that Python continues to grow in popularity. Data Scientists, Machine Learning (ML) developers, and all manner of data junkies love the ease of creating Python code – but many are put off by the slow execution that's inherent with most interpreted languages like Python. It was with one goal – accelerating Python execution performance – that lead to the creation of Intel Distribution for Python, a set of tools that let anyone speed Python application performance right out of the box, usually with no code changes required. Intel Distribution for Python* speeds NumPy, SciPy, and scikit-learn by integrating the Intel Math Kernel Library (Intel MKL) and Intel Data Analytics Acceleration Library (Intel DAAL), both written in C and assembler, to speed up Python math functions. Also, Intel Distribution for Python* incorporates the latest advances in vectorization and threading, Numba, and Cython to deliver composable parallelism with Threaded Building Blocks (TBB).