2. Lists and Dictionaries
Many programs are written to automate repetitive tasks that are better suited to machines than to humans. In Python, the most common way to organize this kind of work is by using a sequence of values stored in a list type. Lists are extremely versatile and can be used to solve a variety of problems.
A natural complement to lists is the dict type, which stores lookup keys mapped to corresponding values (in what is often called an associative array or a hash table). Dictionaries provide constant time (amortized) performance for assignments and accesses, which means they are ideal for bookkeeping dynamic information.
Python has special syntax and built-in modules that enhance readability and extend the capabilities of ...
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