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 array type is useful in those cases, but in almost every pure-Python case you’ll want to use lists. For everyday work that would normally use a list, there’s no performance advantage to ...

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 ...

Learn how Python's dictionary data structure works as a powerful and versatile way to store and retrieve objects and data in your applications.