Python Coding Interview Questions & Answers | Freshers & Experienced Candidates | Beginner Level

Top 5 Python Coding Interview Questions & Answers for Freshers & Experienced Candidates. Crack Python Interviews with these essential Python coding interview questions with examples for job seekers, final-year students, and data professionals.

Python is the most popular language in the tech industry. During the interview, you will be asked to solve the challenge using Python and explain complex Python code functionality. In this video, we are discussing- Top 5 most common questions & answers- asked during technical Programming interviews. Practicing these questions can help data professionals, developers, and software engineers successfully pass the interview stage.

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Sections 🔥
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00:00 Introduction
00:32 Swap two variables
02:05 Check if Prime number
03:42 Factorial of a number
08:29 Generate Random Numbers
11:12 Print Fibonacci Series
13:06 Next up...

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[imsduve]

These are so basics. I gave more than three to four interviews they are asking very tricky questions because count of freshers increases(recession period) so the level of interviews increases.

[Fullstackdeveloper]

make intermediate and high level interview coding questions also soon..

[swetasharma]

Excellent video! Thanks for clearly explaining each question in such a clear and calm manner. 👏

[okxpuny]

Factorial is a terrible example.

1. Don't implement factorial in Python yourself. You have a built-in math library, it has a factorial() function. Don't teach beginners (who are clearly the target audience of your video) to reinvent the wheel; don't support the interviewers' habit of giving stupid examples as problems.

2. I understand that you needed to pull out an example with recursion and memoization, and the interviewers, apparently, can't come up with anything better than factorial.

If you really need an example with memoization, don't teach beginners to invent their own again. Functools has an lru_cache decorator for this.

3. There is a big difference in efficiency between the loop solution and the recursion solution: loop is more efficient on average, but Python optimizes tail recursion and the difference is not so noticeable. This issue has nothing to do with what you said in the video about the efficiency of these algorithms.

"Simple", "for beginners" and "just incorrect" are different things.

[preetshah]

Please make a video on R Programming launguage.

[MANISH]

kindly make intermediate and high level interview questions

[akhiladevangamath]

thanks for this video.

but in the last part, there is no recursive call in the function print fibonacci