Lists
Python allows you to make use of a list data structure which is extremely useful when it comes to
storing collections of objects. As a programmer, you can create lists that contain different types of
data. At the same time, you can also make use of several built-in techniques in Python that will
allow you to insert, index, count, sort, append, remove, pop, and even reverse items in a list. Take
a look at this example:
Using the above code, you were able to create a list through the method append(), print all the
specified items, and then manage to sort the items before you asked the program to print them
again. You were also able to find an item’s index and also remove particular items.
Dictionaries
Python’s dictionary structure allows you to make use of a hash table that can be used to store
virtually any amount of objects. The program’s dictionary contains a pair of items which consists
of a key and its corresponding value.
Dictionaries are extremely helpful in creating hacking scripts. For example, you can create a
scanner that is designed to exploit vulnerabilities of a particular system, such as open TCP ports.
If you have a dictionary that will display service names for corresponding ports that you want to
exploit. For example, you can create a dictionary that will allow you to look up the ftp key, and
then provide you an output of 21, which corresponds to a port that you may want to test. You can
also use dictionaries to perform brute force attacks to crack an encrypted password.What makes
Python even better is that you can code your own dictionaries and use them in other scripts that
you may want to develop in the future.
When you create a dictionary, keys should be separated from their corresponding value with a
colon, and the items should be separated using commas. In the following example, you will be
able to use the .keys() method to give you a list of all the available keys in the dictionary, and the
.items() method that will provide you all the items that the dictionary contains. Take a look at this
example:
Now that you know the basic concepts that make Python scripts perform tasks, you are now ready
to start using them in your own script. In the next chapter, you will learn how a readable Python
script should look like.
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