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by Rick J. Scavetta, Boyan Angelov
Python and R for the Modern Data Scientist
1. R for Pythonistas
Up and running with R
RStudio Cloud
RStudio Desktop
The perks & perils of projects & packages
Installing and loading packages
The Triumph of Tibbles
A word about types and exploring
Vectors
Vector types have an inherent Hierarchy
Naming (internal) Things
List the ways
The Facts about Factors
How to find… stuff
Reiterations Redo
Final Thoughts
2. Data Format Context
Definitions and landscape
Packages versus built-in
Tabular data
Image data
OpenCV and scikit-image
Text data
NLTK and spaCy
Time series data
Base R
prophet
Spatial data
raster
Bringing it all together
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Python and R for the Modern Data Scientist
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