Python Notes: Lists vs. Arrays. You can file this post under “if Rhett doesn’t write it down, he will forget”. I guess you are thinking that I am a python expert.

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.

The Python array is designed to emulate the behavior of an array in C, and it’s meant chiefly to allow Python to work with C arrays. The array type is useful in those cases, but in almost every ...

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...

In Python, arrays map directly to lists. Tables in TOML. A table is a collection of key-value pairs in a TOML file, labeled with a header in square brackets.

As an FYI, nosferatu-man's and my solutions are better than S. Carton's, but require Python 2.4. The "key" parameter to sort/sorted does a "Decorate-Sort-Undecorate"[1] automatically, whereas the ...