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// Now, verify the conditions on a button-by-button basis. // Drop button: if (isLoggedOn && atLeastOne && courseSelected) dropButton.setEnabled(true); else dropButton.setEnabled(false); // Add button: if (isLoggedOn && catalogSelected) addButton.setEnabled(true); else addButton.setEnabled(false); // Save My Schedule button: if (isLoggedOn) { saveScheduleButton.setEnabled(true); // Because of the way that we created the latter two // buttons, we have to do a bit of extra work to make them // appear to be turned on or off. l1.setEnabled(true); l2.setEnabled(true); } else { saveScheduleButton.setEnabled(false); // Because of the way that we created the latter two // buttons, we have to do a bit of extra work to make them // appear to be turned on or off. l1.setEnabled(false); l2.setEnabled(false); } // Log Off button: if (isLoggedOn) logoffButton.setEnabled(true); else logoffButton.setEnabled(false); } //---------------------------// Called whenever a user is logged off. private void clearFields() { nameLabel.setText(""); totalCoursesLabel.setText(""); // Note that a JList likes to be "fed" an array, // so we fabricate a "dummy" empty Object array. studentCourseList.setListData(new Object[1]); }

The previous site was written in PHP Going from PHP to Python was great programmatically. The . only downfall is you have to be a lot more careful with memory management [since Django processes stay around a lot longer than PHP processes (which are single cycle)].

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// Set the various fields, lists, etc. to reflect the information // associated with a particular student. (Used when logging in.) private void setFields(Student theStudent) { nameLabel.setText(theStudent.getName()); int total = theStudent.getEnrolledSections().size(); totalCoursesLabel.setText("" + total); // If the student is registered for any courses, list these, too. if (total > 0) { // Because we already have a collection containing the // sections that the student is registered for, // and because these objects have defined a toString() // method, we can merely hand the collection to the JList. // (Note that a JList likes to be "fed" an array, // so we call the toArray method on the collection // returned by the getEnrolledSections method.) studentCourseList.setListData(theStudent. getEnrolledSections().toArray(new Section[1])); } } //---------------------------// A utility method used to convert the contents of the HashMap into a // Section array that is sorted in alphabetic section no. order. private Section[] sortSections(HashMap<String, Section> sections) { // We'll transfer the contents of the HashMap to a TreeMap, which // automatically orders its entries in ascending key order. TreeMap<String, Section> sortedMap = new TreeMap<String, Section>(sections); // Then, we convert the contents of the (sorted) TreeMap // into a Section array to return it. return sortedMap.values().toArray(new Section[1]); } //---------------------------// A utility method used to validate a Student's password by comparing it // to the first three digits of his/her student ID number. private boolean validatePassword(Student s, String pw) { if (pw == null) return false; else if (s.getSsn().startsWith(pw)) return true; else return false; } }

This version of the query doesn t use an analytical function. It uses a more traditional, subquerybased approach to the problem of ranking. The problem is that the subquery essentially represents an additional query to the employees table for each row that is being ranked. If the employees table is large, this can result in a large number of data reads and consume minutes, perhaps hours, of response time. Listing 9-25 generates the same report using the analytical function RANK. Listing 9-25. Ranking employee salary using analytical funcions SELECT e1.deptno, e1.ename, e1.msal, RANK() OVER (ORDER BY e1.msal DESC) sal_rank FROM employees e1 ORDER BY e1.msal DESC; DEPTNO -----10 20 20 20 30 10 30 30 10 ENAME MSAL SAL_RANK -------- ------ -------KING 5000 1 FORD 3000 2 SCOTT 3000 2 JONES 2975 4 BLAKE 2850 5 CLARK 2450 6 ALLEN 1600 7 TURNER 1500 8 MILLER 1300 9

4. Read the case study for a Prescription Tracking System (PTS) in Appendix B. In your opinion, how effective is this case study as an abstraction Are there details that you think could have been omitted or missing details that you think would have been important to include If you had an opportunity to interview the intended users of the PTS, what additional questions might you ask them to better refine this abstraction

Now for the million-dollar question: How did Django treat you We were especially interested in hearing where Django fell down it s important to know where your tools are weak before you run into roadblocks.

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