Python 9.21 Jobs

1. List instance: Create a Job scoring list by string, make and delete to query statistic traversal operation. For example, query the first 3 points subscript, statistics 1 points of the number of students, 3 points of the number of students and so on.

>>> Can=list ('1123232323123')>>>can['1','1','2','3','2','3','2','3','2','3','1','2','3']>>> Can.append (4)>>>can['1','1','2','3','2','3','2','3','2','3','1','2','3', 4]>>> Can.insert (1,'5')>>>can['1','5','1','2','3','2','3','2','3','2','3','1','2','3', 4]>>> Can.pop (1)'5'>>>can['1','1','2','3','2','3','2','3','2','3','1','2','3', 4]>>> Can.index ('3')3>>> Can.count ('1')3>>> Can.count ('3')5

2. Dictionary: Establish the student's academic grade dictionary, do the deletion and change to check the traversal operation.

>>> dic=dict (Zip (['1','2','3'],[92,94,96]))>>>dic{'1': 92,'2': 94,'3': 96}>>> dic1={4:'98'}>>>dic.update (DIC1)>>>dic{'1': 92,'2': 94,'3': 96, 4:'98'}>>> Dic.pop (4)'98'>>>dic{'1': 92,'2': 94,'3': 96}>>> dic[4]=100>>>dic{'1': 92,'2': 94,'3': 96, 4:100}>>> Dic.get ('1')92

3 A list, a tuple, a dictionary, a collection of traversal. Summary lists, tuples, dictionaries, collections of connections and differences.

4 Examples of English word frequency statistics

A string to parse

b Decomposition to extract words

A Case txt.lower ()

B delimiter '.,:;?! -_

' C-Count dictionary

D Sort List.sort ()

E output Top (Ten)

Python 9.21 Jobs