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This presentation explores the last built-in (as opposed to user-defined) types in this course. These types are often used to store data in files.We actually had an (accidental) sneak peak at these…
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The divide-and-conquer examples we saw in the previous session were on the easy side. In this session we look at some much more challenging examples.Included in this session is segregate, the most…
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This video introduces an advanced topic that is completely optional and will not appear on any exam. Keyword expansion is the dictionary version of tuple expansion. It is used in modules like Kivy to…
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Dictionaries are mutables and support mutable functions. But this is a case where dictionaries are slightly different from lists. We are allowed to loop over a dictionary as we modify it, so long as…
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Since we can loop over dictionaries, that means we probably want to use them in functions with accumulators. In this video we show how to do this and why they are not that much different from lists.
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Dictionaries are not sliceable, but they are iterable. In this video we show the many different ways you can use a dictionary in a for-loop. The primary thing to understand is that you have to…
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In this video we show that we can nest dictionaries just like we nested lists. In fact, a lot of real world data is represented this way. We show off a particularly complicated JSON file that…
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Since dictionaries are mutable, we must represent them with folders. In this video we show what these folders must look like. In doing so, we see that they look suspiciously similar to other folders…
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Dictionaries are mutable. In this video we show how to alter there contents. This includes reassigning the value of a dictionary for a given key. But it also includes adding and deleting keys.
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In this video, we introduce a dictionary as a collection of key-value pairs. We also show how to write a dictionary expression in Python. It looks just like a JSON string, but without the quotes.
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