Hugh Lake not in clubmembers in Java

Making QR Code JIS X 0510 in Java Hugh Lake not in clubmembers

This command asks the computer whether the name Hugh Lake is not in the clubmembers set In this case, the name Hugh Lake is not in the clubmembers set, so the preceding command would return a True value If you used the following command to check whether the name John Doe is not in the clubmembers set, the following command would return a False value because the name John Doe is in the clubmembers set:

A set by itself can be handy for grouping related data together, but if you have two or more sets of data, you can manipulate the data in both sets For example, suppose you have a set of country club members and a second set of people applying for membership You can combine both sets together to create a third set (a union) find the common data in both sets (an intersection) or take away the common data in both sets (the difference)

Union simply takes data from two sets and smashes them together to create a third set that includes all data from the first two sets, as shown in Figure 2-2

To use the union command in Python, you need to identify the two set names with the union command Suppose you had one set called clubmembers and another set called applicants, as follows:

from sets import Set clubmembers = Set([ Bill Evans , John Doe , Mary Jacobs ]) applicants = Set ([ Bo Biggs , Tasha Korat ])

Now if you wanted to combine the data in both sets and store it in a third set called newmembers, you could use the union command as follows:

newmembers = clubmembersunion(applicants)

This creates a third set called newmembers and stores the data from both sets into the newmembers set The data in the other sets isn t modified in any way The order in which you define the two sets is irrelevant: You can put the clubmembers set name first like this:

newmembers = clubmembersunion(applicants)

You could switch the two set names around like this:

newmembers = applicantsunion(clubmembers)

The end result is identical in creating a third set and dumping data from both sets into this third set If you combine two sets that happen to contain one or more identical chunks of data, the union (combination of the two sets) is smart enough not to store duplicate data twice

Whereas the union commands combines two sets into one, the intersect command creates a third set that only includes data stored in both sets, as shown in Figure 2-3 To use the intersection command in Python, you need to identify the two set names with the intersection command Suppose you had one set called clubmembers and another set called politicians, as follows:

from sets import Set clubmembers = Set([ Bill Evans , John Doe , Mary Jacobs ]) politicians = Set ([ Bo Biggs , John Doe ])

Now if you wanted to find only that data stored in both sets, you could use the intersection command to store this data in a third set, as follows:

newset = clubmembersintersection(politicians)

This creates a third set newset which contains the name John Doe The other names are omitted because they aren t in both original sets

If you have two sets, you might want to identify all the data stored in one set that isn t stored in a second set To do this, you d use the difference command, as shown in Figure 2-4 To use the difference command in Python, you need to identify the two set names with the difference command Suppose you had one set called clubmembers and another set called politicians, as follows:

from sets import Set clubmembers = Set([ Bill Evans , John Doe , Mary Jacobs ]) politicians = Set ([ Bo Biggs , John Doe ])