As a first step, start with who_raw and create a new data frame, who2, with the following properties: All the 'new...' columns of who_raw become values of a single variable, case_type. Store the counts associated with each case_type value as a new variable called 'count'. Remove the iso2 and iso3 columns, since they are redundant with country (which you should keep!). Keep the year column as a variable. Remove all not-a-number (NaN) counts. Hint: You can test for a NaN using Python's math. isnan(). Convert the counts to integers. (Because of the presence of NaNs, the counts will be otherwise be treated as floating-point values, which is undesirable since you do not expect to see non-integer counts.)

What type of file does a cookie place on web site visitors' computers so that web site managers can customize their sites to their visitors' preferences?

Write the command that can be used to answer the following questions. (hint: try each out on the system to check your results.) a. find all files on the system that have the word test" as part of their filename. b. search the path variable for the pathname to the awk command. c. find all files in the /usr directory and subdirectories that are larger than 50 kilobytes in size. d. find all files in the /usr directory and subdirectories that are less than 70 kilobytes in size. e. find all files in the / directory and subdirectories that are symbolic links. f. find all files in the /var directory and subdirectories that were accessed less than 60 minutes ago. g. find all files in the /var directory and subdirectories that were accessed less than six days ago. h. find all files in the /home directory and subdirectories that are empty. i. find all files in the /etc directory and subdirectories that are owned by the group bin."

What is a programming method that provides for interactive modules to a website?