An elegant syntax for building collections

Comprehensions are an elegant syntax for creating collections such as lists, sets, and dictionaries in Python. In this video, I showcase the use of comprehensions in Python to build, filter, and transform lists, sets, dictionaries.
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Maybe you’ve been writing classes and creating objects in Python but never really thought about what the __init__
method was doing or what self
meant. Or maybe this is all new to you.
Either way, I explain these two things in this video.
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Data structures organize data in ways that make it efficient for their data to be accessed in particular ways by placing constraints on how the data is accessed. Data structures may also place constraints on the data itself, such as a uniqueness constraint on items in a set — I talk about that in Set Basics in Python.
In this video, I talk broadly about data structures, briefly about stacks, and at length about queues and the deque
Python module for easily creating and using queues.
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More Computing resources
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