Write code to find the name of the first Pokemon with the maxmum number of base...

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Write code to find the name of the first Pokemon with the maxmum number of base hit points (hp). Remember that you will need to iterate through each element of the list, and each element is a dictionary which has various keys including hp and name. Update (2023-02-17): There are two Pokemon with maximum hit points; find the first one. For extra credit (5 points), find both names without iterating through the list more than once. 2. Generation Counts (10 pts) Write code to create a new dictionary generation counts that stores the counts of each generation in the dataset. 3. Mean Weights by Primary Type (15 pts) Write code to create a new dictionary primary_weights that stores the mean weight of all pokemon with the same primary type. Remember that the mean is the sum of all values divided by the number of values. Hints • Consider creating a dictionary mapping primary type to a list of weights first, and then compute the mean from each list. • Some pokemon have unknown weights. In this case, weight kg is set to None. Make sure to exclude them from mean computations. 4. Filter by Hit Points (15 pts) Write a function filter_hp that takes three parameters, data, min_hp and max_hp, and returns a sorted list of tuples of those pokemon whose base hit points (hp) is within the range min_hp <= hp <= max_hp. The first entry in each tuple should be the number of hit points of the pokemon, and the second entry is its name. Set the default parameter values of min_hp to 1 and max hp to 255. The data parameter will be passed the dataset (the global data). For example, filter_hp(data, 2e, 25) would return [(20.0, Duskull'), (20.0, "Feebas), (29.0, "Magikarp'), (20.0, "Mime Jr.'), (20.8, "Pichu'), (20.0, "Shuckle'), (25.0, "Abra'), (25.0, "Blipbug'), (25.0, "Magnemite'), (25.0, Wimpod")] Hints • Remember that we can sort values of a list in two ways. • Tuples will be sorted by first comparing their first element, then second element, and so on. Write code to find the name of the first Pokemon with the maxmum number of base hit points (hp). Remember that you will need to iterate through each element of the list, and each element is a dictionary which has various keys including hp and name. Update (2023-02-17): There are two Pokemon with maximum hit points; find the first one. For extra credit (5 points), find both names without iterating through the list more than once. 2. Generation Counts (10 pts) Write code to create a new dictionary generation counts that stores the counts of each generation in the dataset. 3. Mean Weights by Primary Type (15 pts) Write code to create a new dictionary primary_weights that stores the mean weight of all pokemon with the same primary type. Remember that the mean is the sum of all values divided by the number of values. Hints • Consider creating a dictionary mapping primary type to a list of weights first, and then compute the mean from each list. • Some pokemon have unknown weights. In this case, weight kg is set to None. Make sure to exclude them from mean computations. 4. Filter by Hit Points (15 pts) Write a function filter_hp that takes three parameters, data, min_hp and max_hp, and returns a sorted list of tuples of those pokemon whose base hit points (hp) is within the range min_hp <= hp <= max_hp. The first entry in each tuple should be the number of hit points of the pokemon, and the second entry is its name. Set the default parameter values of min_hp to 1 and max hp to 255. The data parameter will be passed the dataset (the global data). For example, filter_hp(data, 2e, 25) would return [(20.0, Duskull'), (20.0, "Feebas), (29.0, "Magikarp'), (20.0, "Mime Jr.'), (20.8, "Pichu'), (20.0, "Shuckle'), (25.0, "Abra'), (25.0, "Blipbug'), (25.0, "Magnemite'), (25.0, Wimpod")] Hints • Remember that we can sort values of a list in two ways. • Tuples will be sorted by first comparing their first element, then second element, and so on.