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: Python for R Users: A Data Science Approach
: Ajay Ohri
: Wiley
: 2017
: True PDF/ePub
: 358
: 41.7 Mb
: English

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python
The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translationscomplete with sample codeof R to Python and Python to R.
Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data miningincluding supervised and unsupervised data mining methodsare treated in detail, as are time series forecasting, text mining, and natural language processing.
Features a quick-learning format with concise tutorials and actionable analytics
Provides command-by-command translations of R to Python and vice versa
Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages
Offers numerous comparative examples and applications in both programming languages
Designed for use for practitioners and students that know one language and want to learn the other
Supplies slides useful for teaching and learning either software on a companion website












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