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the return keyword specifies the function result. def incrementor (x) : return x + 1 incrementor( 4 ) # returns 5
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 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
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
The dictionary is a useful data structure for storing (key, value) pairs. Read and write elements by specifying the key within the brackets. Use the keys() and values() functions to access all keys and values of the dictionary. You can access the (key, value) pairs of a dictionary with the items() method.
Python keywords are also known as Python reserved words. Every programming language has its own set of keywords. Python has 33 keywords in total as of Python 3.7. The following table lists all the Python keywords.
language keywords forbidden lower/UPPER case discrimination ☝ expression with only comas →tuple dictionary collection integer, float, boolean, string, bytes Identifiers ☺ a toto x7 y_max BigOne ☹ 8y and for x+=3 x-=2 increment ⇔ x=x+3 decrement ⇔ x=x-2 Conversions for lists, tuples, strings, bytes… int("15") → 15
