If you are working with data, R is a fantastic language to learn. R is a popular language used by data scientists and researchers. The challenges arising from that level are different and that's what I want to expose. R little bit easier, syntax length also smaller than python. To learn more about how RStudio supports using R and Python on the same Data Science teams, check out our R and Python Love Story, where we provide information and resources for Data Scientists, Data Science Leaders, and DevOps/IT Leaders grappling with mixed R & Python environments. One of the best ways to learn R by doing is through the following (online) tutorials: There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. A … Step 2: Understanding the R Syntax. (And in turn, the bias comes from which language one learns first.) : A lot of statistical modeling research is conducted in R, so there's a wider variety of model types to choose from. Reddit API – Overview In an earlier post “How to access various Web Services in Python“, we described how we can access services such as YouTube, Vimeo and Twitter via their API’s. Simplicity, clear syntax and short codes set Python apart from other high-level languages. Learning the syntax of a programming language like R is very similar to the way you would learn a natural language like French or Spanish: by practice & by doing. Python is one of the best general purpose programming languages. This is true whether they answer R or Python. The vast majority of people who answer this question will do so out of bias, not fact. Learn Python Learn R. If you’re interested in a career in data, and you’re familiar with the set of skills you’ll need to master, you know that Python and R are two of the most popular languages for data analysis.If you’re weighing Python vs. R for your first language, read on for some tips. Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful.. In ecology or biotechnology it is too famous and there huge package has already developed. Learn Data Science from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more. Still, Python seems to perform better in data manipulation and repetitive tasks. Note, there are a few Reddit Wrappers that you can use to interact with Reddit. Learning. Entire sites like Instagram, Reddit and Mozilla have been built on it. Hence, it is the right choice if you plan to build a digital product based on machine learning. Like mentioned in other answers, it depends on your current level. Python is a generic programming language with which you can build things, and R is a great statistical platform with which you can analyze and plot things. Python or R any one you can choose. You can learn about these topics in Introduction to Deep Learning in Keras and Introduction to Deep Learning in PyTorch. Udacity now has Programming for Data Science nanodegree programs in both Python and R! It is also heavily used in machine learning, data analytics, cloud infrastructure & DevOps, and several other applications. Thank you for the A2A. When it comes to machine learning projects, both R and Python have their own advantages. Where Python Excels Where R Excels; The majority of deep learning research is done in Python, so tools such as Keras and PyTorch have "Python-first" development. Depends on your current level and there huge package has already developed Mozilla have been built on it learn these. 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