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2025-01-26 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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Most people do not understand the knowledge points of this article "python guidance how to use", so the editor summarizes the following content, detailed content, clear steps, and has a certain reference value. I hope you can get something after reading this article. Let's take a look at this "python guidance how to use" article.
1. Dict derived list1 = ['name',' age', 'gender'] list2 = [' zmz','20, 'boy'] # Dictionary derived-quickly merge lists into dictionaries, or extract target data from dictionaries # cases 1-key is a number, value is the square of this number 1 = {I * * 2 for i in range (1,5)} print (dict1) # example 2-merge two lists Two lists of the same length dict2 = {list1 [I]: List2 [I] for i in range (len (list1))} print (dict2) # if the length of two lists is different Then take len (short list) # example 3-extract data from the dictionary dict3 = {'Mac': 10000,' Dell': 6599, 'HP': 6999,' Lenovo': 5799, 'Acer': 4599} print (dict3.items ()) counts = {key: value for key Value in dict3.items () if value > 6000} print (counts) II. List derivation "" derivation (generation)-- is used to simplify code deduction inclusion: 1. List derivation 2. Dictionary derivation 3. Set deductive "" # create a regular list or control a regular list with an expression list1 = [] # while implementation I = 0while I < 10: list1.append (I) I + = 1print (list1) # for implementation list2 = [] for i in range (10,20,1): list2.append (I) print (list2) # deductive implementation list3 = [i for i in range (- 9,2) 1)] the I on the left of # for is the return value Of course, to create a list, use [] print (list3) print (sum ([2 * * i for i in range (100)]) 3. Set derivation # set derivation-- mainly used to create collections based on the list list1 = [2,3,4,2,5,3] set1 = {I * * 2 for i in list1} print (set1) T1 = (10,20,30,40) 50) print (T1) T2 = (I * 2 for i in T1) print (T2) # cannot be printed. 4. With if derivation "create an even list of 0-10" # method-list1 = [i for i in range (0,11) 2)] print (list1) # method II list2 = [] for i in range (11): if I% 2 = = 0: list2.append (I) print (list2) # method 3 list3 = [i for i in range (11) if I% 2 = = 0] # the list derivation is actually print (list3) V derived from the simplification of for cycle, list = [] for i in range (1) with for 3): for j in range (3): list.append ((I, j)) print (list) print ("=") list1 = [(I, j) for i in range (5) for j in range (5)] # for loop nesting count = 0for I in list1: count + = 1 print (I, end='') if count% 5 = = 0: print () above is the content of this article on "how to use python deduction" I believe we all have a certain understanding. I hope the content shared by the editor will be helpful to you. If you want to know more about the relevant knowledge, please pay attention to the industry information channel.
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