Python and R are data science powerhouses, each with heaping spoonfuls of syntactic sugar.

Python vs. R: Syntactic Sugar Magic Python and R empower data scientists to solve problems using elegant syntactic sugar, simplifying coding and solution exploration. Each language brings its unique capabilities and approach to bear. Continue Reading About the Author Leandro Roser Data Scientist and Machine Learning Developer Leandro creates ML solutions for companies, including Profasee and Boston Consulting Group. He has expertise with TensorFlow, Spark, Python, and R. Hire Leandro Other Recommended Articles An Introduction to Machine Learning Theory and Its Application: A Visual Tutorial with Examples Python Design Patterns: For Sleek And Fashionable Code Social Network Analysis in R and Gephi: Digging Into Twitter Exploring Supervised Machine Learning Algorithms Ensuring Clean Code: A Look at Python, Parameterized FOLLOW US: Toptal, LLC, 2810 N. Church Street #36879, Wilmington, Delaware 19802-4447, United States Unsubscribe Manage preferences