The one place they are pretty convenient is in languages (like Python) where multiple return values from one function can be used as multiple input parameters to another.

Tools included with the stock installation of the Python interpreter can provide you with detailed feedback about which parts of your program are slow, and offer some hints about how to speed them up.

Give your Python applications a rocket boost—here's everything you need to know to get started with Cython and its Python-to-C compiler.

Think it's complex to connect your Python program to the UNIX shell? Think again! In past articles, I've looked into concurrency in Python via threads (see "Thinking Concurrently: How Modern Network ...