Why should I choose Python for my Big Data projects?

Introduction

Data science programming has used many languages over the years, from R to Java. Surprisingly, however, the newest competitor who has outgrown the rest of popular information science languages is none other than Python. The reason Python is so popular is how easy it is to insert it, especially from the perspective of a newcomer. 

The Tech Republic classifies Python as the second language easier to learn in today's programming language offering. Although not so impressive, the fact that Python can now handle complex mathematical ideas (such as Lambda Functions) and be easily adaptable becomes a compelling alternative to the other languages competing in this space.

Java, Python and R - Big Data Languages

Interest in Big Data continues to grow, so new ways to visualize, represent and analyze Big Data in a way that is easy to understand and intuitively manipulate are at the forefront of the programming language career. We mentioned earlier that Python is probably the easiest to learn with these languages, but thanks to the wide availability of open source libraries, it is also easier to adapt to the needs of a Data Science company that seeks to analyze and isolate tons of data. 

IEEE notes the popularity of Python as the most popular language currently used by developers, and because of its open source nature, there is a wide variety of open libraries available for adapting GitHub. This increases the extensibility of the language and makes it ideal for data science applications since this means that programmers will not have to reinvent the wheel every time they need to draw conclusions from a new set of data.

Adaptability, Scalability and Ease of Use

What really sets Python apart from the other languages mentioned above is how easy it is to adapt and adapt well. Many cloud hosting services already support the development of Python in the cloud. Techopedia says that the reason why Python is so popular for machine learning is that of the ease of reading and coding, and how simple the coding is for users. Combine this with cloud scalability and we'll get powerful language that is easy to adapt, easy to read and use, and even easier to meet the demands of a data science framework. What else could a data scientist ask for?

Seamless interface

In the past, data science had been the domain of other languages. Many of the more powerful programming interfaces, such as Scala, have been encoded in more established languages, such as Java, and are still applicable to building Crud applications using Python and Django. Use API with similar encoding language patterns for a less complicated situation when writing new applications to manipulate data. 

However, in today's world, Python stood out and was recognized as being able to interact with many different APIs and is now at the centre of web development, visible in things like Django and Turbo Gears, APIs that feed the active parts of the Internet. , again, comes from the number of open libraries available to interact with Python with just about any existing API. All you need is a simple import command.

The future of data science?

The popularity of Python is likely to increase over time. It is a very useful language to be dishonoured, and it is deeply rooted on the Internet to stop being used overnight. Programmers tend to have a bit of nostalgia for the languages they have learned and many programmers working today have started their first "Hello World" program in a Python compiler. 

It is likely that Python will power the Internet for a long time and, because of its ease of use, can bring Data Science to the realm of understanding ordinary people, a great leap in itself. If any language can simplify the twists and turns of data science processing, so that the layman can use it for his own purposes, that language would undoubtedly be Python.

To getting expert-level training for Data Science Training in your location –Data Science Training in Chennai | Data Science Training in Bangalore | Data Science Training in Pune | Data Science Training in Kalyan Nagar | Data Science Training in marathahalli| Data Science Training in Anna Nagar | Data Science Training in OMR | Data Science Training in Rajaji Nagar | Data Science Training in btm| Data Science with Python training in Chennai | Data Science with R Training in chennai| Data Science with SAS Training in Chennai| Data science Training in Velachery | Data science Training in Tambaram | Data science training in jayanagar| Data Science Training in Pune| Data Science Training in Kalyan Nagar | Data Science Training in Chennai |Data Science training in Bangalore | Data Science training in Chennai|Data Science Training in electronic city|Data Science Training in Indira Nagar| Data Science Training in Marathahalli | Data Science Training in BTM layout For getting online training | Data Science online Training |Data science training in USA