We know how tricky battle it is to choose the apt programming language for your career framework in the Data Science and Machine Learning field! Well it will be no more a hassel for you, now that we will help you to make a better choice! There are quite many data science tools for programming available in the market, that serves the much-needed options to learn and work, but still there is a close combat going on, that narrowed down between the two popular languages-Python and R. And between the two, Python has emerging as the programming leader; used more in data science application. Let's breakdown its differential features to make the picture more clear
1. Simple to use and Easy to learn
The most enticing factor of Pyhton is that schooling its programming language is as simple as learning ABC; which draws the point to 'easy and quick learning'. While comparing it with R and others languages, it offers a shorter learning curve. While also making a lead over other languages by promoting an easy-to-understand syntax. As well the simple use of the code, especially making it close resemblance to the English language, makes it better suited for beginners
2. Portable, Extensible, Flexible and a Faster tool
When we say Python is the King of the programming languages, we aren't kidding! Python has an abiding lead by emerging as a scalable language. It allows you to work faster and more flexible to solve problems and address the problems of specific nature, when compared to other languages like R. The portable and extensible properties of Python also allow you to perform cross-language operations seamlessly, by integrating programming platforms like Java, .Net, C and C++.
3.Choice of libraries
The variety of data science/data analytics libraries it offers serves as another significant factor that contributes to deep-rooting its leadership among other languages. Tensor Flow, Pandas, Stats Models, NumPy, SciPy and Scikit-Learn are some of the popular libraries in the data science community.
4.Python a tool for ML
As you know, Machine Learning is all about statistics, mathematical optimization and probability. Thus, Python has become the most preferred machine learning tool in the way it lets you 'do math' easily. It also offers a customization for neutral networks and deep learning with libraries like Tensor Flow.
5.Graphics and Visualization
Another reason for the phenomenal rise of Python is that it actually comes with the option of varied visualization. The visualization packages help you to get a good sense of data, create charts, graphical plot and to create web-ready interactive plots.
The way Data science landscape is changing rapidly, the Python has emerged as the most apt data science tool to explore the basics of programming and let you expand your skills through scientific computing learning. Hope you got a clear picture of 'Why you should learn Python over R!' Master the basics of data science by choosing Python
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