$6.$ A simple word count! Loop through the passage of text below and store each word in a dictionary that has a key:value pair of word: # of occurrences $($for example: there are $10$ occurrences of 'the' in the passage, one dictionary entry would be 'the': $10)$text$\_$list $=[\text{'}$Python$\text{'},$ 'was', 'conceived', $\text{'}$in$\text{'},$ 'the', 'late', $\text{'}1980$s$\text{'},$ 'and', 'its', 'implementation', 'began', $\text{'}$in$\text{'},$ 'December', $\text{'}1989\text{'},\text{'}$by$\text{'},$ 'Guido', 'van', 'Rossum', $\text{'}$at$\text{'},$ 'Centrum', 'Wiskunde', $\text{'}$&$\text{'},$ 'Informatica', $\text{'}$in$\text{'},$ 'the', 'Netherlands', $\text{'}$as$\text{'},\text{'}$a$\text{'},$ 'successor', $\text{'}$to$\text{'},$ 'the', 'ABC', 'language', 'itself', 'inspired', $\text{'}$by$\text{'},$ 'SETL', 'capable', $\text{'}$of$\text{'},$ 'exception', 'handling', 'and', 'interfacing', 'with', 'the', 'Amoeba', 'operating', 'system', $\text{'}.\text{'},$ 'Van', 'Rossum', 'remains', "Python's", 'principal', 'author', $\text{'}.\text{'},$ 'His', 'continuing', 'central', 'role', $\text{'}$in$\text{'},$ "Python's", 'development', $\text{'}$is$\text{'},$ 'reflected', $\text{'}$in$\text{'},$ 'the', 'title', 'given', $\text{'}$to$\text{'},$ 'him', $\text{'}$by$\text{'},$ 'the', 'Python', 'community', 'Benevolent', 'Dictator', 'For', 'Life', $\text{'}.\text{'},\text{'}$On$\text{'},$ 'the', 'origins', $\text{'}$of$\text{'},$ 'Python', 'Van', 'Rossum', 'wrote', $\text{'}$in$\text{'},\text{'}1996\text{'},\text{'}$In$\text{'},$ 'December', $\text{'}1989\text{'},\text{'}$I$\text{'},$ 'was', 'looking', 'for', $\text{'}$a$\text{'},$ 'hobby', 'programming', 'project', 'that', 'would', 'keep', $\text{'}$me$\text{'},$ 'occupied', 'during', 'the', 'week', 'around', 'Christmas', $\text{'}.\text{'},\text{'}$My$\text{'},$ 'office', 'would', $\text{'}$be$\text{'},$ 'closed', 'but', $\text{'}$I$\text{'},$ 'had', $\text{'}$a$\text{'},$ 'home', 'computer', 'and', 'not', 'much', 'else', $\text{'}$on$\text{'},\text{'}$my$\text{'},$ 'hands', $\text{'}.\text{'},\text{'}$I$\text{'},$ 'decided', $\text{'}$to$\text{'},$ 'write', $\text{'}$an$\text{'},$ 'interpreter', 'for', 'the', 'new', 'scripting', 'language', $\text{'}$I$\text{'},$ 'had', 'been', 'thinking', 'about', 'lately', $\text{'}$a$\text{'},$ 'descendant', $\text{'}$of$\text{'},$ 'ABC', 'that', 'would', 'appeal', $\text{'}$to$\text{'},$ 'Unix$/$C$\text{'},$ 'hackers', $\text{'}.\text{'},\text{'}$I$\text{'},$ 'chose', 'Python', $\text{'}$as$\text{'},\text{'}$a$\text{'},$ 'working', 'title', 'for', 'the', 'project', 'being', $\text{'}$in$\text{'},\text{'}$a$\text{'},$ 'slightly', 'irreverent', 'mood', 'and', $\text{'}$a$\text{'},$ 'big', 'fan', $\text{'}$of$\text{'},$ 'Monty', "Python's", 'Flying', 'Circus', $\text{'}.\text{'}]7.$ Loop through the dictionary you made above of $\{$word: # of occurrences$\},$ sum up the total number of words and divide each entry in the dictionary by that total sum and store it in a new dictionary $($this will take $2$ separate loops!$)($In data science this is called Term$-$Frequency or TF$)$Extra challenge: Sort the output by the TF in descending order.