data:image/png;base64,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by: Firstname Lastname on 09/16/2019
1920 U2L3p2 Keeping Items from a List (starter)
Unit 2 Lab 3: Making Decisions by Using Predicates > Keeping Items from a List1. Export (see Unit 2 Lab 1 Importing Greet Player into Another Program if you've forgotten how) your new predicates (between?, divisible?, even?, and perhaps also integer?) from your U2L3-Predicates project, then load this starter project, import your predicates, and save the new project.2. Experiment with these examples of keep. Discuss and then explain in writing what these expressions are doingHow many 12-letter words are in words list?
How many 12-letter words are in words list?
How many 15-letter words are in words list?
How many 17-letter words are in words list?
How many items in the numbers list are: Even?
How many items in the numbers list are: Between 25 and 75?
How many items in the numbers list are: Even numbers that are greater than zero?
4.0 If you created an integer? predicate, use your new predicates together with keep to determine how many numbers in the numbers list are:
Integers?
Integers between 25 and 75?
Not integers?
Odd integers?Use your new predicates together with keep to determine how many numbers in the numbers list are: Integers?
Use your new predicates together with keep to determine how many numbers in the numbers list are:Integers?
Integers between 25 and 75?
Use your new predicates together with keep to determine how many numbers in the numbers list are:
Not integers?
Use your new predicates together with keep to determine how many numbers in the numbers list are:
Odd integers?
1datamapmany1data lists1110iThere are many possible ways to code this block. A second is shown below. Note that students are given the option whether or not to include the boundary 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