#Combine three dictionaries python update#
#Combine three dictionaries python code#

We can chat again in 5 years and see if enough people have stumbled over it for it to actually become the standard way.

A solution that doesn't even work until 3.5 is not going to be readable to 90%+ of Python programmers, and so it's a bad solution regardless of whether it's 'idiomatic'.

#Combine three dictionaries python code#

This is absolutely code golf, and it misses one of the most fundamental points of Python: readability counts. Throw it in a utilities module if for some reason you need to merge dictionaries a lot in your codebase. And if you want to do something stupidly overly cute as a one liner inside the function, you can just docstring it. okay, solution! def merge_dicts(initial, overwrite): Idiomatic: fairly, but it would be nicer if it could be inlined

#Combine three dictionaries python update#

In the end, I'd just go with copy and update due to clarity. That certainly explains how it doesn't increase in time like the rest of the algorithms did when input data was changed. I wound up getting help on this project from an actual programmer and even he was baffled at what the hell the guy was doing in some of those lambdas. Even if you could find all the places a variable was used, there was a good chance that your trail was going to run cold on account of the initial variable declaration being done using a terse, undocumented, opaque lamda. This is the Python ic (and also general) approach, my. my_list = a great example of being better than my_list = Īs for the lambdas, what made me want to track the guy down and throttle him was that he paired all this fuckery with a lack of comments. First, a union of the keys in the 2 dict s is computed, to make sure that no key is left aside (for that, the keys in each dict are converted into a set) For each element in the above set, get the corresponding array (empty one if the key is not present) from each dict, and concatenate them.

I get that they have some performance enhancements over for loops but unless you're being forced to really optimize your performance, my experience is that the value of list comprehensions is more that, when use correctly, they can be the better way of communicating what you're doing because of the value you gain from keeping things more concise. They were still bad list comprehensions, but the list comprehensions did start to become less horrible as time went on before that project I'd just never had a reason to deal with list comprehensions.

Introduction to Programming with Python (from Microsoft Virtual Academy).

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