Since last few years, there is an emergence of so many programming languages such as JAVA, C, C++, Python, or C#, all the languages were developed and designed to serve a specific purpose. By the time, humans started to communicate with machines with the help of these multiple languages. resulting so many wonderful software applications were developed and many existing and pending complex problems were solved.
Everyday we generate lots of data that companies are using for different purposes such as designing new applications, to start new services and for understanding the customer and their needs in a good manner. Because of this, new jobs are arising that require programming language to complete the goals. One main such job is of a data scientist, which is more trending or we can say which is more important and most of the companies are investing in today.
WHY PYTHON LANGUAGE IS BETTER THAN R FOR DATA SCIENCE CAREERS?
Why Data Science?
With the huge amount of data, each and every organization wants to check and collect insights from it. With the help of data, companies can measure work progress, make important decisions, plan for the future, and come up with cost-efficient products. Almost every company do like this inspect the huge amount of data and trying to make some conclusion from it. This is where the help of data scientists is required. Data Scientist are the people who are responsible for organizing and processing the data with algorithms and other relevant scientific methods and techniques. Daily work or job of a data scientist is to analyze large amounts of data sets, sort out important information, and ultimately provide insights to the companies that are simple and easy to understand. Based on all these things, companies make strategies and make business-related decisions.
To do all the analysis and sorting of data, Data Scientist needs a set of tools as well as efficient and easy to implement programing language.
Python- The most preferred programming language for Data Science
With the advancement of technologies such as artificial intelligence and machine learning, data science is gaining even more popularity over each passing day. Also, it started becoming a popular career choice among people and this is mainly because data scientist gets amazing salaries. For this, it is beneficial for data scientists to know multiple programming languages, but first, they must start by learning at least one language with in-depth knowledge and clarity. As per the data scientist, collecting and cleaning the data does 75 percent of their job. That data can be messy, not properly arranged, has missing values, no proper formatting in practice. While there are multiple tools to help and guide in this job, Python programming language is the most preferred and there are multiple reasons behind it.
Among all the tools and programming languages, the popularity of the Python language is at its peak. programmers and researchers are using it for so many reasons. They are using it for designing applications, training data using Machine Learning models, designing software or cleaning, and sorting data. Python does this job better than all other programming languages. As per the statistics, Python is the most widely used programming language in the world today and the main reasons are Python’s dynamic nature and a set of wonderful libraries.
Why Python is the most preferred language for Data Science?
One of the unique and main features of Python is it is an open-source language. Data scientists task includes the integration of the existing data with web-based applications. Also, they need to implement multiple algorithms on a daily basis. Python makes all these tasks with ease and hassle-free for data scientists, that’s why Python is most preferred by Data Scientists.
Easy to Learn
One of the good qualities of Python is that it is very easy to learn and for implementation, even beginner programmers can also learn it in very few days. Python comes with its easy to understand capabilities. If we compare Python with other data science languages such as R and MATLAB, Python is relatively easy and simple to learn.
Scalability
when it comes to scalability, Python is faster than most of the languages like MATLAB, R, and Stata. Scalability is a very important aspect of any programming language and this is the reason Youtube and so many popular companies have migrated all the processes to Python.
Set of libraries
Python has a huge set of libraries that are used by a data scientist for different functionality. Numpy, Scipy, StatsModels, and sci-kit-learn are some common python libraries which are useful for a data scientist. Therefore, with the help of python and its libraries, Data scientist solve many complex problems which seem to be unsolved earlier.
Over time, Python is helping data scientists to achieve their goals with perfection by adding some tools. Also, the supportive and large community of Python is helping developers to solve all the problems.
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