The core value of functions lies in encapsulating repetitive computational logic into independent modules, achieving ...

In Python, the mere act of making a function call incurs a relatively large amount of overhead. If some function is called repeatedly in a tight loop, even if it isn’t a long-running function ...

Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

Python's saving grace can be found within the original premise above: all other things being equal, shorter code is more likely to be bug-free. When you combine Python's dynamic typing with its ...

From simple timers and benchmarking modules to sophisticated stats-based frameworks, look to these tools for insight into the performance of your Python program.