Why do two identical lists have a different memory footprint?
I created two lists l1 and l2, but each one with a different creation method:
I created two lists l1 and l2, but each one with a different creation method:
Which approach is better? Using a tuple, like:
I just read the answer to this question: Accessing class variables from a list comprehension in the class definition
How is Unicode string literally represented in Python’s memory?
I need a faster way to store and access around 3GB of k:v pairs. Where k is a string or an integer and v is an np.array() that can be of different shapes.
I understand dictionaries are insertion ordered in Python 3.6+, as an implementation detail in 3.6 and official in 3.7+.
I can create a multi-line string using this syntax:
In Python 3, it is possible to open a file object using an “integer file descriptor” with the format:
This message is a a bit long with many examples, but I hope it
will help me and others to better grasp the full story of variables
and attribute lookup in Python 2.7.
I understand that “.pyc” files are compiled versions of the plain-text “.py” files, created at runtime to make programs run faster. However I have observed a few things: