Python Monkey Patch Property

Essential Python Interview Questions Introduction. Looking for a Python job Chances are you will need to prove that you know how to work with Python. Here are a couple of questions that cover a wide base of skills associated with Python. Focus is placed on the language itself, and not any particular package or framework. Python Monkey Patch Property' title='Python Monkey Patch Property' />Ruby is a dynamic, reflective, objectoriented, generalpurpose programming language. It was designed and developed in the mid1990s by Yukihiro Matz Matsumoto in Japan. Share this Rating. Title The Jungle Book 2 2003 5. Want to share IMDbs rating on your own site Use the HTML below. Python Monkey Patch Property' title='Python Monkey Patch Property' />Well see two ways of initializing dictionary by solving word frequency problem. I figured it out I figured it out from black and white Seconds and hours. Each question will be linked to a suitable tutorial if there is one. Some questions will wrap up multiple topics. I havent actually been given an interview test quite as hard as this one, if you can get to the answers comfortably then go get yourself a job. What This Tutorial Is Not. This tutorial does not aim to cover every available workplace culture different employers will ask you different questions in different ways they will follow different conventions they will value different things. They will test you in different ways. Some employers will sit you down in from of a computer and ask you to solve simple problems some will stand you up in front of a white board and do similar some will give you a take home test to solve some will just have a conversation with you. The best test for a programmer is actually programming. This is a difficult thing to test with a simple tutorial. So for bonus points make sure that you can actually use the functionality demonstrated in the questions. If you actually understand how to get to the answers well enough that you can actually make use of the demonstrated concepts then you are winning. Similarly, the best test for a software engineer is actually engineering. This tutorial is about Python as a language. Being able to design efficient, effective, maintainable class hierarchies for solving niche problems is great and wonderful and a skill set worth pursuing but well beyond the scope of this text. Another thing this tutorial is not is PEP8 compliant. This is intentional as, as mentioned before, different employers will follow different conventions. You will need to adapt to fit the culture of the workplace. Because practicality beats purity. Intel Fortran Compiler User Manual there. Visio 2007 For Window 7 32 Bit here. Another thing this tutorial isnt is concise. I dont want to just throw questions and answers at you and hope something sticks. I want you to get it, or at least get it well enough that you are in a position to look for further explanations yourself for any problem topics. Want to ace your technical interview Schedule a Technical Interview Practice Session with an expert now Question 1. What is Python really You can and are encouraged make comparisons to other technologies in your answer Answer. Here are a few key points Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Python is dynamically typed, this means that you dont need to state the types of variables when you declare them or anything like that. You can do things like x1. Im a string without error. Python is well suited to object orientated programming in that it allows the definition of classes along with composition and inheritance. Python does not have access specifiers like Cs public, private, the justification for this point is given as we are all adults hereIn Python, functions are first class objects. This means that they can be assigned to variables, returned from other functions and passed into functions. Classes are also first class objects. Writing Python code is quick but running it is often slower than compiled languages. Fortunately Python allows the inclusion of C based extensions so bottlenecks can be optimised away and often are. The numpy package is a good example of this, its really quite quick because a lot of the number crunching it does isnt actually done by Python. Python finds use in many spheres web applications, automation, scientific modelling, big data applications and many more. Its also often used as glue code to get other languages and components to play nice. Python makes difficult things easy so programmers can focus on overriding algorithms and structures rather than nitty gritty low level details. Why This Matters If you are applying for a Python position, you should know what it is and why it is so gosh darn cool. And why it isnt o. O Question 2. Fill in the missing code def printdirectorycontentss. Path. This function takes the name of a directory. This function is similar to os. Please dont. use os. We are interested in your. Answerdef printdirectorycontentss. Path. import os. Child in os. Path. s. Child. Path os. Path,s. Child. if os. Child. Path. printdirectorycontentss. Child. Path. prints. Child. Path. Pay Special Attention. Be consistent with your naming conventions. If there is a naming convention evident in any sample code, stick to it. Even if it is not the naming convention you usually use. Recursive functions need to recurse and terminate. Make sure you understand how this happens so that you avoid bottomless callstacks. We use the os module for interacting with the operating system in a way that is cross platform. You could say s. Child. Path s. Path s. Child but that wouldnt work on windows. Familiarity with base packages is really worthwhile, but dont break your head trying to memorize everything, Google is your friend in the workplace Ask questions if you dont understand what the code is supposed to do. KISS Keep it Simple, Stupid Why This Matters Displays knowledge of basic operating system interaction stuff. Recursion is hella useful Question 3. Looking at the below code, write down the final values of A0, A1,. An. A0 dictzipa,b,c,d,e,1,2,3,4,5. A2 sortedi for i in A1 if i in A0. A3 sortedA0s for s in A0. A4 i for i in A1 if i in A3. A5 i ii for i in A1. A6 i,i for i in A1. If you dont know what zip is dont stress out. No sane employer will expect you to memorize the standard library. Here is the output of help Return a list of tuples, where each tuple contains the i th element. The returned list is truncated. If that doesnt make sense then take a few minutes to figure it out however you choose to. Answer. A0 a 1, c 3, b 2, e 5, d 4 the order may vary. A1 range0, 1. 0 or 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 in python 2. A3 1, 2, 3, 4, 5. A4 1, 2, 3, 4, 5. A5 0 0, 1 1, 2 4, 3 9, 4 1. A6 0, 0, 1, 1, 2, 4, 3, 9, 4, 1. Why This Matters. List comprehension is a wonderful time saver and a big stumbling block for a lot of people. If you can read them, you can probably write them down. Some of this code was made to be deliberately weird. You may need to work with some weird people Question 4. A5 Brochure Template Indesign here. Python and multi threading. Is it a good idea List some ways to get some Python code to run in a parallel way. Answer. Python doesnt allow multi threading in the truest sense of the word. It has a multi threading package but if you want to multi thread to speed your code up, then its usually not a good idea to use it. Python has a construct called the Global Interpreter Lock GIL. The GIL makes sure that only one of your threads can execute at any one time. A thread acquires the GIL, does a little work, then passes the GIL onto the next thread. This happens very quickly so to the human eye it may seem like your threads are executing in parallel, but they are really just taking turns using the same CPU core. All this GIL passing adds overhead to execution.