If I say that Python is better than R it will be true for me, it might not be true for you. You might have your reasons that R is more useful than Python. But For data science and Machine Learning, I think Python has more advantages than R or any other programming language. In this article, I will explain why Python is better than R for data science and machine learning.
I realize that R has some unique and powerful statistical libraries that could dominate Python libraries, but the overall machine learning cycle can produce more positives by being able to grow with data scientists and machine learning experts with the use of Python.
Also, Read – Structured and Unstructured Data in Machine Learning.
Why Python Is Better Than R?
Below, I have explained the major reasons why I think Python is better than R:
Jupyter Notebook is a great visualization tool for data science, which can interpret Python. You can run code cells, comment, create headers, and add widgets that can enhance the functionality of your presentation. You can only write Python here. Being able to code in this language, the Jupyter notebook contributes a big advantage for data scientists.
The Support of Packages
There are several powerful and commonly used packages which are easily accessible with Python. Some of the most used are Scikit-Learn and TensorFlow.
Scikit-Learn is a very powerful and useful library for machine learning that contains classification and regression models and ready to be used for your dataset.
For deep learning, TensorFlow is the library used to model complex situations. Some of the main projects that one can work on with this popular and powerful library are Neural Networks, General Antagonist Networks, and Attention Neural Machine Translation.
Because I used Python for most of my machine learning tasks, I managed to integrate the model with .py which is an object-oriented programming format. The files are developed methodically in a modular fashion. Calling API in Python is a bit straightforward as there is so much documentation on websites that helps in getting website/business data.
As you can see, there are many advantages for data scientists who choose to use Python. While both programming languages are extremely useful and efficient, I have found in my personal experience that Python is better than R.
Also, Read – Time Series with LSTM in Machine Learning.
I hope you liked this article on why Python is better than R. Feel free to ask your valuable questions in the comments section below. You can also follow me on Medium to learn every topic of Machine Learning and Python.