Top Reasons to Learn Python and Hadoop

Top Reasons to Learn Python and Hadoop

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Jaya
Jaya Sharma
Assistant Manager - Content
Updated on Jul 18, 2022 11:54 IST

The world of software technology is a fast-evolving one. New technologies are always emerging in the scene. If you want to make your mark in the field then you need to keep pace with the latest developments in the field. The competency of software professionals is measured by their knowledge of the most advanced technology. Here, we are talking about two of the technologies including Python and Hadoop that everyone is talking about of late. Let us find out the top reasons to learn Python and Hadoop.

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Why Learn Python and Hadoop?

Let’s jump in:

What is Python?

Well, as you might know, Python is a programming language used for general-purpose coding. Python is a design language that focuses extensively on code readability. One of the most noticeable features of Python is the use of whitespace indentation to delimit code blocks rather than using curly braces or keywords. Another great advantage of Python over similar languages such as Java and C++ is that it allows expressing concepts in fewer lines. Because of these advantages, Python is one of the most widely used design languages in the world today.

Do Read>> Why Learn Python?

The Core Philosophy of Python

The core philosophy of python is summarized in the Zen of Python. It is based on certain aphorisms like:

  • Beautiful is Better than Ugly
  • Readability counts
  • Simple is better than Complex
  • Complex is better than Complicated
  • Explicit is Better Than Implicit

As you might have guessed, the emphasis is really on simplicity. That’s the main essence of Python.

Application ofPython 

Python is everywhere. This statement perfectly summarizes the wide range of areas that Python is used today. Python is extensively used in the following fields

  • Desktop Based GUI Applications

Python can be used to design a variety of Desktop Based GUI Applications with the help of toolkits like PyGtk, PyQt and wxPython. Some of the specific areas in which Python has worked its magic include

  • Scientific and Computational Applications

There are certain tools that are specifically designed to develop Scientific and Computational Tools using Python. Examples include Numeric Python and Scientific Python. FreeCAD, 3D Modeling Software and Abaqus, finite element method software has been developed using Python.

  • Image Processing and Graphic Design Applications

Python has been used to design 2D Imaging Software like ImageScape, GIMP and Scribus. It is also used, in varying degrees, to design 3D animation packages like Maya, 3ds Max, Houdini, Blender, Lightwave, Cinema 4D and Houdini

  • Games

Python is also used to develop games such as Civilization IV, Vega Strike and the likes. There are a number of 3D Game Engines like PySoy which is used to develop games.

  • Web Frameworks

A number of Web Frameworks like Django, TurboGears and CherryPy and certain others as well.

Advantages of Python

So, what are the advantages of Python? Well, since a lot of people are talking about it, there’s has to be some benefits right? There are benefits and a lot of it! Let’s take a look at some of them:

  • Easy to Learn

For a programmer, one of the biggest advantages of Python is that it is easy to learn. You just need to follow the programming guidelines, set forward in the PEP 8, and you are good to go.

  • Productivity and Speed

If you are a programmer, especially a freelance programmer, then time is literally money for you. Programming with Python takes less time. This means that you would be able to execute more projects in less time.

  • Wide Range of Applications

Python is used in a variety of fields. For example, it is used in Google App Engine, YouTube, Facebook and a ton of other places. Therefore, being an expert in Python can land you a job at these places. That’s quite motivating, wouldn’t you say?

Okay, now that we have learned something about Python and how it would help you, let’s move on to another technology whose knowledge would turn you into a competent professional. Let us now know a bit about Hadoop.

Do check out>> Top Big data Interview Questions

What is Hadoop?

Hadoop, or more precisely Apache Hadoop, is an open-source software framework that is used for Data Storage and for processing very large sets of data.  At the core of Hadoop, you have two essential parts – The Storage Part, which is known as Hadoop File Distribution System (HDFS) and the processing part.

Do give a read to Top Hadoop Interview Questions & Answers

The base Hadoop Framework consists of the following modules

  • Hadoop Distributed File System (HDFS) – A distributed file system that stores data on the commodity machines.
  • MapReduce- This is an implementation of MapReduce programming for large scale data processing
  • Hadoop Common – The Hadoop Common contains the libraries and the utilities that can be used by other modules
  • Hadoop YARN – The resource management platform.

The Future of Python and Hadoop

The future looks bright for both Python and Hadoop. Since Python has a number of advantages, the demand is huge for people who have a great deal of knowledge about Python.

Big Data is another frontier that is going to see a lot of growth. Since, Hadoop is one of the widely used frameworks for Big Data Processing, knowing Hadoop would surely be an added advantage.

You can also read>> Mastering Hadoop – Pros and Cons

Job Opportunities For Python And Hadoop Skilled Professionals

Learning Python would increase your chances of getting a decent job as a programmer. A lot of companies are using Python for designing a wide range of software applications.

Hadoop and Python skilled people have increased chances of getting a job in Big Data Analysis. Hadoop would help you to process the large data sets and Python would help you in the actual process of analysis.

If you are a software professional who wants a better paying job in the industry, then having expertise in the most modern technology would only increase your chances of getting your dream job. Hadoop and Python are two such technologies that are in huge demand in recent times and the future shows no signs of change in their popularity. So, learning new stuff would always open up new windows of opportunity.

Also Read: Career Advantages of Hadoop Certification

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FAQs

Why is Python both strongly typed language and dynamic language?

Python is a strongly typed language since the interpreter keeps the track of all types of variables. It is also known as a dynamically typed language since there is no issue in Python if variables are not declared. The interpreter itself infers the data type that the variable received without the involvement of users.

What is type hinting in Python?

Type hinting or type annotation is a concept introduced by Python. It supports external type checkers for recognizing any errors. Developers and programmers can hint at the type of the object(s) that are being utilized while the compilation period ensures that type checkers are working correctly.

Define the types of run modes in Hadoop?

Q3. Define the types of run modes in Hadoop? Ans. There are three modes in which Hadoop can run including Standalone mode, pseudo-distributed mode and fully-distributed mode. Standalone mode is the default mode that uses a local FileSystem and a single Java process for running Hadoop services. The pseudo-distributed mode uses single-node Hadoop deployment whereas the fully distributed mode uses separate nodes to run Hadoop master and slave services. Q4. What are the components of Hadoop? Ans. There are four core components of Hadoop including Hadoop Common, HDFS, Hadoop MapReduce and YARN. Q5. What do you mean by u2018picklingu2019 and u2018unpicklingu2019? Ans. Pickle module can accept any Python object and then converts it into string representation. After this, it dumps this into a file using the u2018dumpu2019 function. This entire process is known as pickling. On the other hand, retrieval of original Python objects from stored string representation is known as unpickling. Q6. What are the most used input formats in Hadoop? There are three input formats in Hadoop. The text input format is the default input format. Key-value input is used for plain text files in which files are broken into lines. The sequence file input format is for reading files in sequence. Q7. What are the different built-in types in Python? Ans. Python has two built-in types: Mutable and Immutable. Mutable built-in types include List, Sets and Dictionaries whereas Immutable built-in types include Strings, Tuples and Numbers. There are three modes in which Hadoop can run including Standalone mode, pseudo-distributed mode and fully-distributed mode. Standalone mode is the default mode that uses a local FileSystem and a single Java process for running Hadoop services. The pseudo-distributed mode uses single-node Hadoop deployment whereas the fully distributed mode uses separate nodes to run Hadoop master and slave services.

What are the components of Hadoop?

There are four core components of Hadoop including Hadoop Common, HDFS, Hadoop MapReduce and YARN.

What do you mean by u2018picklingu2019 and u2018unpicklingu2019?

Pickle module can accept any Python object and then converts it into string representation. After this, it dumps this into a file using the u2018dumpu2019 function. This entire process is known as pickling. On the other hand, retrieval of original Python objects from stored string representation is known as unpickling.

What are the most used input formats in Hadoop?

There are three input formats in Hadoop. The text input format is the default input format. Key-value input is used for plain text files in which files are broken into lines. The sequence file input format is for reading files in sequence.

What are the different built-in types in Python?

Python has two built-in types: Mutable and Immutable. Mutable built-in types include List, Sets and Dictionaries whereas Immutable built-in types include Strings, Tuples and Numbers.

What kind of a database is Hadoop?

No, Hadoop is not a database. It is an open-source software framework that can handle structured and semi-structured data in large quantities.

What is the difference between Hadoop and MongoDB?

Hadoop is a framework to store and process Big Data in a distributed environment. MongoDB is a document-oriented NoSQL type of database that stores data in flexible JSON type of document format.

About the Author
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Jaya Sharma
Assistant Manager - Content

Jaya is a writer with an experience of over 5 years in content creation and marketing. Her writing style is versatile since she likes to write as per the requirement of the domain. She has worked on Technology, Fina... Read Full Bio