ed-donner
Extend Intermediate Python `generators` examples
Added some extra examples and explanations for generator expressions to the Intermediate Python Notebook.
-
How to create generators using comprehensions alike syntax.
-
Exposing generators depletion, on my experience is a typical issue new learners face.
Specially when using iterators as they do not raise an exception and just returns/do nothing when a depleted generator is provided.
This may lead to a "IDK Why this does not work now if it worked before", specially on Notebooks where you can run the "consumer" cell twice in a row getting "nothing" on the second run. 😉
-
How we get memory benefits from using generators and how they allow a huge dataset generator scenario that will not fit complete on memory.
-
Example of a generator encapsulating an external resource, behaving as an infinite generator on demand without compromising memory.
This may be handy to work with stream completions for example.
There is also a typo fixed detected by the spell checker of my IDE.
