Q1. What is a generator and when should you use one?
A generator is a function that yields values lazily using yield. Calling it returns a generator object that produces items on demand and remembers its position, so memory...
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Q2. What are generators in Python?
Generators are functions that return an iterable collection of items, one at a time, in a set manner. Generators, in general, are used to create iterators with a differen...
Q3. What can you use Python generator functions for?
One of the reasons to use generator is to make the solution clearer for some kind of solutions. The other is to treat results one at a time, avoiding building huge lists ...
Q4. When is not a good time to use Python generators?
Use list instead of generator when: 1 You need to access the data multiple times (i.e. cache the results instead of recomputing them) 2 You need random access (or any a...
Q5. When should you use generator expressions vs. list comprehensions in Python and vice-versa?
Iterating over the generator expression or the list comprehension will do the same thing. However, the list comp will create the entire list in memory first while the gen...
Q6. What are the generators in Python?
A **generator** in Python is a special type of iterator that generates values on demand (**lazy evaluation**) rather than storing the entire dataset in memory at once. Ge...
Q7. What Are Python Generators?
A Generator is a kind of function which lets us specify a function that acts like an iterator and hence can get used in a "for" loop. In a generator function, the yield k...
Q8. What Is The Syntax For Generator Expression In Python?
The syntax for generator expression matches with the list comprehension, but the difference is that it uses parenthesis: ( expression(var) for var in iterable ) For examp...