Learn why the synergy of R and Python is essential for a data scientist and how to get started with these languages. One of the most common data science questions is what language beginners should learn, R or Python. This has led to a rivalry between the two languages, termed the "Language War".
The purpose of this talk is to announce that this rivalry is over, and we are entering a new era. We'll go through the main defining features of both languages (influenced by their history) and how they compare between different workflows in data science (i.e., data visualization, machine learning) and data types (i.e., text, image, or time series). As a final element, I'll show what methods are available for combining both in the same workspace and demonstrate this with a case study. At the end of the talk, you'll be able to appreciate why being bilingual is essential for a modern data scientist and what are the best ways to get started.
Whether you're a seasoned data professional or just starting your journey, this comprehensive guide will equip you with the tools and insights you need. Stay ahead in the rapidly evolving world of data science by harnessing the best of both worlds.
Table of Content
00:00 Introduction
06:55 Language wars
07:57 Origin and evolution
13:11 Bilingual dictionary
15:37 Data format context
26:22 Data workflow context
39:25 Synergy: Reticulate
41:15 Case study
45:28 QnA
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