Python Programming Examples Play Python Interview Questions for Freshers1. What is __init__? __init__ is a contructor method in Python and is automatically called to allocate memory when a new object/instance is created. All classes have a __init__ method associated with them. It helps in...
In today’s IT world, Python is a key programming skill for almost 90% of the population working on Software applications. Hence, we have formulated a list of 100 core Python interview questions to help you master this skill. So, firstly, let’s begin with the most basic, yet, must-kno...
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While this might sound like the programming equivalent of the Inception, you’ll untangle it all in a moment:Python decorators.py import functools # ... def repeat(num_times): def decorator_repeat(func): @functools.wraps(func) def wrapper_repeat(*args, **kwargs): for _ in range(num_...
Dataquest.io has dozens of free interactive practice questions, as well as free interactive lessons, project ideas, tutorials, and more. HackerRank is a great site for practice that's also interactive. CodingGame is a fun platform for practice that supports Python. 100+ Python challenging program...
questions.Sadlymostofthese“professional”booksdon’treallyteachquality.Thisisallfine,butthere’s twoproblemswiththeseteam-stylebooksformostbeginners: 1.Youdon’thaveateam,soyoucan’tpracticewhatthey’reteaching.Theteam-orientedbooks aredesignedforjuniorprogrammerswhoalreadyhavejobsandneedtoworkontheteam ...
This article focuses on Google Python interview questions to help you prepare for your next Python interview at Google. Read ahead to learn more! In this article, we’ll cover: Top Google Python Interview Questions and Answers Sample Google Python Interview Questions for Practice ...
Doing this is very popular in functional programming world and it is called memoize.def memoize(f): cache = {} def g(x): if x not in cache: cache[x] = f(x) return cache[x] return g fib = trace(fib) fib = memoize(fib) print(fib(4)) ...
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Best practice decorators for functionsThe basic idea is to use a function, but return a partial object of itself if it is called with parameters before being used as a decorator:from functools import wraps, partial def decorator(func=None, parameter1=None, parameter2=None): if not func: #...