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Keyword. Description. Code example. False, True. Data values from the data type Boolean. False == (1 > 2), True == (2 > 1) and, or, not. Logical operators: (x and y) → both x and y must be True.
To tell Python, that we want to use the global variable, we have to use the keyword “global”, as can be seen in the following example: # This function modifies global variable 's' def f(): global s print s s = "Look for Geeksforgeeks Python Section" print s # Global Scope s = "Python is great!" f() print s Now, there’s no ambiguity. The ...
Check with the inkeyword if set, list, or dictionary contains an element. Set membership is faster than list membership. basket = {'apple' , 'eggs' 'banana ', 'orange } print('eggs' in basket) # True print('mushroom' in basket) # False List & set comprehe nsion List comprehension is the concise Python way to create lists. Use brackets plus an
Python Cheat Sheet - Keywords “ A puzzle a day to learn, code, and pla y” → Visit f inxter.com Keyword Description Code example False , True Boolean data types False == ( 1 > 2 ), True == ( 2 > 1 ) None Empty value constant def f () : x = 2
a,b=b,a values swap ':'.join(['toto','12','pswd']) → 'toto:12:pswd'. a,*b=seq unpacking of sequence in str splitted on whitespaces → list of str. *a,b=seq item and list "words with spaces".split() → ['words','with','spaces'] x+=3 and increment ⇔ x=x+3 str splitted on separator str → list of str *=.
The keys method returns all keys in a dictionary, the values method returns all values in a dictionary and items method returns all key-value pairs in a dictionary. > a.keys() ['x', 'y', 'z'] > a.values() [1, 2, 3] > a.items() [('x', 1), ('y', 2), ('z', 3)] The for statement can be used to iterate over a dictionary.
Python Cheat Sheet (Keywords) “ A puzzle a day to learn, code, and play ” → Visit f inxter.com Keyword Description Code example False , T rue Boolean data types False == ( 1 > 2 ) , T rue == ( 2 > 1 ) None Empty value constant def f ( ) : x = 2
