A second kind of sequence: the list
A list in Python is very similar to a string with two important differences:
- a list can contain any type of elements (and not only characters like strings)
- a list is mutable (unlike strings which are immutable)
Strings and lists are both called sequences or linear containers.
Lists are introduced in chapter 9 of the book. Go through the examples and make sure you properly understand:
- creating a list
- empty and nested lists
- indexing, slices, the in operator
- the range() function
- changing and deleting elements
- cloning a list (read about object, values and aliasing before)
- Traversing a list
- Converting a list of characters into a string and vice-versa
Sections 9.14 (List parameters) to 9.19 (Test-driven development) are advanced topics and can be skipped initially.
Work out exercises 1-6 and 17-18 in section 9.22.
An advanced data structure: the dictionary
Dictionaries (which are basically key-value pairs) are described in chapter 12 of the book. It is important to understand:
- creating a dictionary (empty or non-empty)
- adding a key-value pair
- obtain a value given a key
- using keys(), values(), has_key() and get()
- using a dictionary to speed up fibonacci() (section 12.5)
- counting letters (section 12.7)
Sections 12.4 (Sparse Matrices) and 12.8 (Robots) can be skipped on a first reading.
Work out exercises 1 and 2 in section 12.10. Can you think of a way to solve the problems without using dictionaries? Most modern programming languages have dictionaries. Can you see why?
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