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008    170731s2018    njua    ob    001 0 eng   
010    2017036415 
020    9781119126805|q(electronic bk.) 
020    1119126800|q(electronic bk.) 
020    9781119126775|q(pdf) 
020    1119126770|q(pdf) 
020    9781119126782|q(epub) 
020    1119126789|q(epub) 
020    |z9781119126768|q(pbk.) 
020    |z1119126762|q(pbk.) 
040    DLC|beng|cDLC|dOCLCO|dOCLCF|dDG1|dN|T|dYDX|dMERER|dOCLCQ
       |dUAB|dYDX|dOCLCO|dIDEBK|dOCLCQ|dIUL|dCOO|dK6U|dAS 
050 14 QA76.73.P98|bO37 2018 
082 00 005.13/3|223 
100 1  Ohri, Ajay 
245 10 Python for R users|h[electronic resource] :|ba data 
       science approach /|cAjay Ohri 
250    1st ed 
260    Hoboken, NJ :|bJohn Wiley & Sons,|c2018 
300    1 online resource (xxiii, 343 p.) 
504    Includes bibliographical references and index 
520    Short on theory and long on actionable analytics, this 
       definitive guide provides readers with a detailed 
       comparative introduction and overview of both languages 
       and features concise tutorials with command-by-command 
       translations of R to Python and Python to R. --Edited 
       summary from book 
588    Description based on online resource; title from digital 
       title page (viewed on November 29, 2017) 
650  0 Python (Computer program language) 
650  0 R (Computer program language) 
856 40 |uhttps://onlinelibrary.wiley.com/doi/book/10.1002/
       9781119126805|zeBook(Wiley)