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Top Python Interview Questions You Should Start Preparing RN

Top Python Interview Questions You Should Start Preparing RN

Welcome! May be, you are new to programming altogether or seasoned in the field; either way, you have come to the right place, and have chosen the right language. Python is a very powerful, advanced kind of object-oriented programming language. It is simple and follows an easy to use syntax. Therefore, it has stood out to be the most popular programming language to learn and master, even by those who has set foot recently into the world of computer programming.

So, if you are planning to kickstart a career in Python, pore over these frequently asked questions; they are often asked in job interviews. If you have any doubts regarding Python, feel free to ask us, or comment below.

Or you can also take up our Python Course in Delhi NCR. It’s industry-related and student-friendly.

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What is Python?

Highly readable, interactive and interpreted, Python is an object-oriented scripting language. It focuses on English language, while its competitors use punctuations more.

What are the key features of Python?

  • Dynamically typed – In Python, you don’t have to state the variable kinds. You can easily run x=111  and then x="I'm a string" without error.
  • Interpreted language – This means Python doesn’t have to be compiled before running. PHP and Ruby are other interpreted languages.
  • Object oriented programming – Python is highly suitable for such kind of programming. It lacks access specifiers (like C++’s public, private>).

What role does PYTHONPATH environment variable plays?

PYTHONPATH works similar to a PATH. It helps Python interpreter in locating the module files imported into a program. It includes Python source library directory as well as the directories comprising the Python source code.

Name the supported data types in Python.

Python has 5 supported data types:

  • Numbers
  • List
  • String
  • Dictionary
  • Tuple

Do you know how to display contents of text file in a reverse order?

  • Change the given file into a list,
  • Then reverse the list by using reversed()
  • Eg: for line in reversed(list(open(“file-name”,”r”))):
  • Print(line)

Pick out the invalid statement from below.

  1. a) abc = 1,000,000
  2. b) a b c = 1000 2000 3000
  3. c) a,b,c = 1000, 2000, 3000
  4. d) a_b_c = 1,000,000

        Answer: b

How do you manage memory in Python?

  • Python private heap space manages its memory. All Python items and data structures are stored in a private heap. The programmer is not given access to this, but an interpreter manages this heap.
  • Pythom memory manager allocates Python heap space, while giving some access to the programmer for coding.
  • Python comprises of an inbuilt garbage collector – it recycles all the redundant memory, frees the extra memory and feeds it into the heap space.

What do you mean by Python dictionary?

Python dictionary is nothing but built-in datatypes. It entails a one-to-one relationship between keys and values. Dictionaries are indexed by keys; they contain pairs of keys and their corresponding values.

Hope this set of Python interview questions have prepared you well for upcoming job interviews. All the best!

Want to learn Python and its whole set of applications? Feel free to check out our interactive Python certification course training, offered by industry experts. They help transform your career.

 

The blog has been sourced from:

www.edureka.co/blog/interview-questions/python-interview-questions

intellipaat.com/interview-question/python-interview-questions

 

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3 Most Used Data Science Tools in 2018

The humongous amount of data calls for advanced data science tools – to completely understand and analyze the information.

Data analytics fuels digital transformation. The best way to do this is by arming an expert pool of statisticians, math pundits and business analysts with suitable data science tools with which they can squelch out crucial insights from the ever-growing silos of corporate data. This kind of initiatives promote a data-driven business culture, which acts as a present prerequisite – and this why here we’ve jotted down top 3 data science tools that’s weaving wonders with the new oil of the world, data:

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Python

Both, well-performing software and a powerful programming language perfect for developing custom algorithms, Python is the most must-have tool for all data scientists. In a recent KDnuggets survey of 2052 users, Python language was recommended by 65.6% of respondents.

“We use Python both for data science and back end, which provides us with rapid development and machine learning model deployment,” shared Alexander Osipenko, lead data scientist at Cindicator Inc. “It’s also of great importance for us to ensure the security of implemented tools.”

Leslie De Jesus, innovation director and lead data scientist at Wovenware emphasized on the importance of Python libraries. “[We use] Python Libraries, including Scrapy, for web scraping and being able to extract data from the internet and upload it into a data frame for analysis,” said De Jesus.

Few others vouched for Python because of its multifaceted nature and strong optimization skills.

For Python Certification Training in Delhi, drop by DexLab Analytics.

R

Quite similar to Python, R is the go-to programming language for many data scientists and they depend on it wholly because it’s simpler and more specifically-built for data science. According to the KDnuggets poll, 48.5% respondents voted it to be one of the leading data science tools.

As for all, R programming language is blessed with cultivated capabilities for machine learning and statistics, and professionals love using it. It’s another favorite of data analysts, especially those who deals with a lot of data exploration.

“I can quickly see summary stats like mean, median and quartiles; quickly create different graphs; and create test data sets, which can be easily shared and exported to CSV format,” said Jon Krohn, chief data scientist at Untapt Inc.

Seeking R language certification in Delhi? We have DexLab Analytics for you!

Tableau

Bridging the gap between skilled data science teams and more business-oriented analytics consultants, Tableau Software is the fastest data visualization and dashboard tool. “It is a fantastic tool for data scientists and noobs working on data science,” said Pooja Pandey, senior executive for SEO at Entersoft Security. “[It’s a] quick dashboarding tool to visualize insights and analytical data with a very short learning curve.”

The lightening speed of Tableau’s visualization and reporting functions is commendable. It’s easy to learn, quick to implement and intuitive to use. Moreover, it helps different segments of a company to customize exhaustive reports according to their requirements.

Now, if you are looking for ways to hone your visualization skills, we would recommend Tableau BI training courses from DexLab Analytics. Their training courses are comprehensive, well-research and as per industry standards.

 

The blog has been sourced fromsearchbusinessanalytics.techtarget.com/feature/Data-scientists-weigh-in-5-data-science-tools-to-consider

 

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Diverse and Scientifically Overpowering, Python is the Holy Grail for Tech Nerds, Here’s Why

Diverse and Scientifically Overpowering, Python is the Holy Grail for Tech Nerds, Here’s Why

Python? What comes to your mind – the venomous snake or the multifaceted programming language?

For data freaks, of course it’s the latter.

If you are thinking of imbibing some cool skills this New Year, consider Data Science with Python Training from DexLab Analytics. Python is open source, 100% free and easily available online. Also, it’s a general-purpose programming language, which is versatile in every way and can be used for a plethora of purposes – video games, websites, business tools, and lot more.

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For first-time coders, Python is EPIC

To get started with Python, you just have to install it in your computer, open a notepad app and begin coding. Python is designed immaculately to generate cleaner, easy to gauge lines of code. The code is easy to read and write, and somehow closely resembles English. In terms of readability, words like ‘not’ and ‘in’ are deliberately used to make the language superfluous and not sound like any arcane language.

Moreover, the Python web framework Django is a game-changer. What once used to take hours in PHP could now be completed in minutes in Python. No doubts, codes compiled here will be a lot faster, effective and stable.

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Python is productive yet dangerous

It turns complex tasks into a piece of cake. Almost all the programming tasks are made easier with Python than its other counterparts. And this is known as Rapid Application Development. But of course, as it’s said with great power come great responsibility. You have to devise prudent ways of how to use this power to do something good, and not evil. Because, everything comes at a cost.

Python is a scripting language

The programs are furnished into Python’s interpreter, which eventually runs them directly so as to avoid compiling. It happens with some other programming languages too. But in here, the execution is faster and easier. Also, you receive feedback on your python code, like finding errors quickly, which is an added advantage. All this makes programming fun!!

Python is cross platform

Linux, Windows, Mac – Python can run on any computer operating system, large or small. Whether its large company servers or tiny PCs like Raspberry Pi, the cross platform feature poses no problem. In fact, Python programs can be run on iOS and Android devices.

Free and open-source

This means you can use Python without paying a single penny –just download and run python, and make any program your own once you write it with Python and also share if you feel like. The source code of Python is open to all, if you ever want to know how the Python developers drafted their code, take a peep into the code. It will help, trust me (though the code is written in a different programming language).

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Who uses Python?

Python has become indispensable. It’s everywhere now. These are the fields in which Python is applied:

  • Space
  • Astronomy
  • Movies
  • Laboratories
  • Medicine
  • Games
  • Music
  • Video
  • Doorbell
  • OS

Now, that you know a lot of things about Python software, how do you start?

Take up Python programming tutorial, it’s bound to make an incredible impact on your future, so hope you master it well. And for that, DexLab Analytics is here.

 

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