To Learn a Language:

Fundamental Python Data Types and Variables

Wrapping an evaluation in type() will tell you what sort of data type is
Numbers: int, float, bool
Strings: str
None is comparable to null in other languages
Dictionaries are like objects in JS or hash tables in other programming languages
Dictionary keys are immutable
When iterating over dictionaries, knowing about items, keys, and values are important
Lists are arrays
A tuple is an immutable list; They are slightly more performant, so it's a good idea to use them in cases of arrays that don't need to be mutated.
A set is an 'unordered collection of unique objects', that is, no single value can be duplicated in a set

-"Don't read the dictionary"

Variables in Python are snake-case
Constants in Python are flagged by the use of upper-case caps
Double-underscores indicate a var that is not to be mutated
Triple-quotes allow multiline strings
Types are converted by wrapping the value in the name of the type you need it converted to

When indentation is required, like in conditional statements, 2 spaces is the norm

the *args and **kwargs arguments allow you to respectively input multiple arguments and keyword arguments
Allowed order is params, *args, default parameters, **kwargs

Scope order is: local, parent's local, Global, built-in python functions
When using global variables inside block scope, you need to flag them with the global keyword, OR pass them into functions, etc, via arguments