I’m trying to write a very simple function to recursively search through a possibly nested (in the most extreme cases ten levels deep) Python dictionary and return the first value it finds from the given key.
I see people are using any to gather another list to see if an item exists in a list, but is there a quick way to just do something like this?
I have just joined a project with a rather large existing code base. We develop in linux and do not use and IDE. We run through the command line. I’m trying to figure out how to get python to search for the right path when I run project modules. For instance, when I run something like:
There is a JSON like this:
As an example my list is:
I have two dataframes, the first one has 1000 rows and looks like:
I have a file and I don’t know how big it’s going to be (it could be quite large, but the size will vary greatly). I want to search the last 10 lines or so to see if any of them match a string. I need to do this as quickly and efficiently as possible and was wondering if there’s anything better than:
Is there any built-in methods that are part of lists that would give me the first and last index of some value, like:
When you do something like "test" in a where a is a list does python do a sequential search on the list or does it create a hash table representation to optimize the lookup? In the application I need this for I’ll be doing a lot of lookups on the list so would it be best to do something like b = set(a) and then "test" in b? Also note that the list of values I’ll have won’t have duplicate data and I don’t actually care about the order it’s in; I just need to be able to check for the existence of a value.
I have a list ‘a’