Problem 1 print("Problem 1") Create a function named problem1.| Create a dictionary named spring23 with the names of your classes and professors. Using a loop, print out the name of your classes and your professors. • Using a loop, print the name of your classes and your professors. •

Write a function called count_duplicates that takes a dictionary as an argument and returns the number of values that appear two or more times.

Create a function called mergeAndSeparate which performs the following tasks: Accepts two numpy arrays, aLeft and aRight Creates and returns three numpy arrays, left, right, and both both contains the elements in the arrays which match on value and position If aLeft = [1 2 4 4] and aRight = [1 6 5 4] then both should contain [1 4] (the first and last elements) left contains all of the elements in aLeft not matched in aRight In our previous example, left should contain [2 4], the middle two elements right contains all of the elements in aRight not matched in aLeft In our previous example, right should contain [6 5], the middle two elements Your code should use only numpy operations No loops. No if statements The function should not print anything You may assume that the input arrays are 1-dimensional and that they are the same length, but you do not know in advance how long they will be You may assume numpy has already been imported Hints: My solution is 5 lines long,...

I need to merge three datasets so that I can create a custom function that would do the following: Create a function called theme_by_year that takes as input a year (as an integer) and shows the theme ids and theme names (listed in order by theme id) that were in sets that year. The column names must be id and name_themes (to differentiate between the name of a theme and the name of a set) in that order. The index should be reset and go from 0 to n-1. Each theme should only be listed once even if it appeared in more than one set from that year -- duplicate themes should be based on theme id and not name since there are some themes with the same name but with a different id. Hint: It will help if you were to think about merging appropriate DataFrames to help you get this answer. The desired output should look like this: theme_by_year(1960) Output: id name_themes0 371 Supplemental1 497 Books2 513 Classic Here's what I tried, but I did not get the desired output:

JS Write a function named sum_between_indices whose parameter is a list/array of decimal numbers. Your function must return the sum of the entries at index 4 through index 15. Make certain to include the entries at index 4 and at index 15 in your sum. You SHOULD assume the parameter will have more than 15 entries.

Problem 2 [Safe Add] Write a function called safeAdd(d, k, v, unsafe=False) that takes either three or four input parameters when called. Here, d is a dictionary, k is a key and v is a value. The function will add the key:value pair k:v to the dictionary d if the key k is NOT in the dictionary. If the key is in the dictionary, the function will display the current value for that key, the new value you passed into the function and ask the user if they wish to proceed and overwrite the existing value. If the optional fourth parameter is True, then just add the key:value pair without checking if the key is already present. Sample run (user input is highlighted)>>> d = {'A':1}>>> safeAdd(d, 'B', 3}>>> display(d) А, 1 В, 3>>> safeAdd(d, 'B', 2) The key B is already in the dictionary. Current value is 3. Do you want to replace this value with 2? [yes/no] yes>>> display(d) А, 1 В, 2>>> safeAdd(d, 'A', 12) The key A is already in the dictionary. Current value is 1. Do you want to replace...

please see attatched image, thank you