As you’ll see when you open your TensorFlow repository in a programming editor or browse the code on GitHub, the core of TensorFlow is implemented in C++ with optional GPU support.

MXNet also supports a broad range of language APIs—Python, C++, Scala, R, JavaScript, Julia, Perl, Go—although its native APIs aren’t as pleasant to work with as TensorFlow’s.

The new data-science tutorial offers tips on using VS Code and the Microsoft Python extension with popular libraries to do tasks like training and evaluating a model, and using TensorFlow to ...