python gui builder

the space behind it is wasted.So, if the list element can be calculated according to an algorithm, can we continue to calculate the subsequent elements in the process of the loop? This eliminates the need to create a complete list, which saves a lot of space. In Python, this side loop computes the mechanism, called the generator: Generator.There are a number of ways to create a generator. The first method is simple, as long as you change a list-gener

is then available:‘‘‘这次我们可以最大程度发挥计算机性能，比上个版本能计算的更多也更快（我电脑能计算6位数的fib值）‘‘‘def fib_gen(): ‘‘‘ 这时一个佩波拉契数列的生成器，每次迭代返回当前值和前一个的值 ‘‘‘ c , p = 1,1 while True: yield p # 每次next运行到此，并返回p的值。当再次调用时，继续执行下面代码， p, c = c, c+p # 计算下次p的值 def fib(n): ‘‘‘根据情况不断运行next（f），直到适合的条件‘‘‘ f = fib_gen() for i in range(n+1): cur = next(f) return nWe're looking at an example of a simple generator.In [1]: array = [1,2,3,4]In [2]: f = (i for i in array) # 是不是看起来很像“元组推倒式”,其实

-Generator When we call a normal Python function, we typically start with the first line of the function, ending with a return statement, an exception, or the end of the function (which can be considered an implicit return of none). Once the function returns control to the caller, it means that it is all over. All the work done in the function and the data saved in the local variables will be lost. When you call this function again, everythin

to traverse a list rather than a list. ls = [1,2,4,6]LS1= (x**2 forXinchls)Print(LS1) Results:#through for: In fetching data does not need to process stopiteration forIinchLS1:Pass#Next () method requires processing Stopiteration whileTrue:Try: Print(Next (LS1))exceptstopiteration:PassDictionary-generatedDictionary generation You can write very elegant code when you need to convert a list or tuple into a dictionary.#Dict () can accept the notation of similar list generation, if LS i

the outermost [] and (), L is a list, and G is a generator. get the next return value for generator with the next () function:>>> Next (g)0>>> Next (g)1>>> Next (g)4use a For loop because generator is also an iterative object:>>> g = (x * x for x in range )>>> for N in G:... print (n)/////////////////a, B = B, A + B (Assignment statement)a different approacha function definition contains the yield keyword, then this function is no longer a normal function, but a generatordef fib (max):N, a, b =

need to catch the anomaly ourselves, control next,python so cool, can you help me solve it? Can, see for loop3:for Cycle#基于for循环, we can completely no longer rely on the index to get the value of dic={' a ': 1, ' B ': 2, ' C ': 3}for K in dic: print (dic[k]) #for循环的工作原理 # #: Dic.__iter__ of the object executing in () method to get an iterator object iter_dic#2: Execute Next (iter_dic), assign the resulting value to K, and then execute the Loop bod

value through the rules of a hash tablePrint (Hash ('fdsakfhdsafsda')) Print (Hash ('fd')) Print (Hash ('a','b' )) Print (hash (True))9, all the values in the Iteration object are converted to bool values if all are true then return TruePrint (All ([1,2,3,0]))10, binary conversion# decimal into binary Print (Bin) # Converts decimal into octal Print (Oct (9)) # Convert decimal to hexadecimal Print (Hex (33))11, data type float, complex (plural)Print (1.35432,type (1.35432)) Print (Float (3))Divm