Last year Intel became a Python distributor, offering its own edition of the language outfitted with Intels Math Kernel Library (MKL). MKL accelerates data-science-related tasks by using Intel-specific processor extensions to speed up certain operations, a fine fit for a language that has become a staple in machine learning and math-and-stats circles.
Packages moving along a conveyor belt inside a Wal-Mart fulfilment centre in Pennsylvania. The vigour of Wal-Marts online investments today contrasts with its initial reticence in e-commerce, which was due to worries that growth of online shopping would cut into sales at brick-and-mortar stores.
The switch from Python 2 to Python 3 has been rocky, but all signs point to Python 3 pulling firmly into the lead. It’s broadly compatible with several libraries,a major third-party implementation of Python iskeeping pace with version 3, and there’s an encouraging rate of adoption by cloud providers for application support.
Fans of C++ praise its power and speed, but even they admit its complexity can be daunting. That’s true when you’re writing libraries in the language, and it’s doubly true when you want to make C++-authored libraries useful to other languages.