Python For Data Science: Why It Is So Important?

A python is an open-source software, and it has many advantages. In today’s date, all the data scientists consider having good knowledge of python is one of the best skills to have and especially for data science professionals. And when you know python, there is a higher chance that you will get more preference for the recruiting process ahead of the other candidates who don’t know much about it. 

But before you know the importance of Python, it’s better to know about why should you learn python? There are always total points that you would fall more for python and choose to learn more about it. And the scores are:

Python is the most favorite tool or programming language of choice for every data scientist to process and analyze data. In 2016, Python overtook the other programming language (R on Kaggle), the premier platform for data science competitions. In 2017, Python overtook R on KDNuggets’s annual poll of data scientists’.In 2018, nearly 70% of data scientists reported using Python over R, making it the number one analytics language for data science professionals.

A lot of data scientists or data science experts expect this trend to continue to increase with the development of the python ecosystem. As you are at the beginning of your journey to learn Python programming, its always best to know what career opportunities are when you master Python, to be precise, they are abundant ( and growing fast). 

And if you’re again expecting the good news? There is no doubt that the number is going to increase, and the demand for data science will grow exponentially. According to the reports, by 2022, the job post for data scientists will increase by threefold, and so the job searches. That means the demand for data science will be sky-rocketing. 

 If you’re looking for a future in data science, it is going to be the brightest one and python, just a piece of donut pie. Therefore, knowing python will help you significantly to scrutinize the structured and unstructured data and the difference between them. Python reduces your work and different and many external factors that could kill lots of your time and productivity. 

The main advantage of knowing Python is in the traditional process where it could take more than 2 hours the same work when we process through python; it will take less than 5 to 10 minutes to handle the entire job through advanced level algorithms. As python is an open-source language, you can always make tweaks to the algorithms according to your requirements. That’s the freedom you have when you use programming languages R and Python. 

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