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Python 3: An interactive deep dive

Generator expressions

Explore generator expressions to understand how they create efficient iterators in Python 3. Learn to use them like anonymous functions that yield values, saving memory compared to list comprehensions. Discover how to iterate over or convert their results to tuples, lists, or sets, enhancing your coding skills with advanced Python concepts.

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A generator expression is like a generator function without the function.

Python 3.5
unique_characters = {'E', 'D', 'M', 'O', 'N', 'S', 'R', 'Y'}
gen = (ord(c) for c in unique_characters)          #①
print (gen  )                                      #②
#<generator object <genexpr> at 0x7ff0c8cf3a68>
print (next(gen) )                                 #③
#69
print (next(gen))
#83
print (tuple(ord(c) for c in unique_characters))   #④
#(69, 83, 89, 77, 68, 79, 78, 82)

① A generator expression is like an anonymous function that yields values. The expression itself looks like a ...