Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

The great flexibility of Python lists, allowing all sorts of different types of elements, comes at a computational cost. NumPY arrays deal with this cost by introducing restrictions. Arrays can be ...

In some ways it’s reminiscent of the Microsoft Windows .ini file format, but with support for a broader range of data types ... lines if needed. In Python, arrays map directly to lists.