Original PDF Ebook – Python for R Users: A Data Science Approach1st Edition – 9781119126768

Original PDF Ebook – Python for R Users: A Data Science Approach1st Edition – 9781119126768

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python_x000D_
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 translations–complete with sample code–of R to Python and Python to R._x000D_
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 mining–including supervised and unsupervised data mining methods–are treated in detail, as are time series forecasting, text mining, and natural language processing._x000D_
• Features a quick-learning format with concise tutorials and actionable analytics_x000D_
• Provides command-by-command translations of R to Python and vice versa_x000D_
• Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages_x000D_
• Offers numerous comparative examples and applications in both programming languages_x000D_
• Designed for use for practitioners and students that know one language and want to learn the other_x000D_
• Supplies slides useful for teaching and learning either software on a companion website_x000D_
Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics.