Lucy volunteers at an animal shelter, and she takes care of an orange tabby cat and her kittens. Some of the kittens have orange markings, but some have gray markings. What units of genetic material determine how living things look?

The liang book has an example called which is a javafx application that reads the javabook database using a preparedstatement object. using it as a guide, create a similar application called findbooks. it will read a list of authors from the bookdb created in problem 1 and display them in a listview. if the user selects an author, it should display the author's book titles in a textarea.

You should hand write your references on your resume.

Your task this week is to write a very simple spam classifier in python. it will classify messages as either spam (unwanted) or ham (wanted). the program will have a set of spam_words, words that are known to appear in spam messages. that set is included in the template file spam.pypreview the document. you will also define a spam threshold which reflects the allowed percentage of spam words in the message. you'll compute a 'spam indicator', which is the ratio of spam words to the total number of unique words in the message. if the spam indicator exceeds the spam threshold, the message is classified as spam. otherwise it is classified as ham. we'll assume that the spam threshold is a constant and has a value of 0.10. your program will prompt the user for a message and then will print the corresponding spam indicator with two decimal digits and the corresponding classification (spam or ham). the program will be case insensitive. the spam words are detected whether they are in lower case or upper case or mixed case. each word, spam or not, is counted once (even if it appears multiple times in the message.) the program will remove punctuation from the message before identifying the words and computing the spam indicator. for example '! ' must be identified as the spam word 'now'.