000 | 01338nam a22001697a 4500 | ||
---|---|---|---|
008 | 190426b2018 xxu||||| |||| 00| 0 eng d | ||
020 | _a9788126575268 | ||
082 | _a005.133 OHR-A | ||
100 | _aOhri, Ajay | ||
245 |
_aPython for R users : _ba data science approach / _cAjay Ohri |
||
260 |
_aIndia _bWiley _c2018 |
||
300 | _a342 p. | ||
365 |
_aINR _b699.00 |
||
500 | _aThis book is the first of its kind to provide a reference that enables students and practitioners to easily learn to code in Python if they are familiar with R and vice versa, even if they are beginners in the second language. It also provides a detailed introduction and overview of each language to the reader who might be unfamiliar with the other. While R has better statistical and graphical tools, Python has good machine learning tools and proves to be more useful software for the analysis of Big Data. A unique feature of this book is how it provides a command-by-command translation between R and Python for many mathematical, visualization and machine learning techniques. The intended audience is statistical practitioners and data scientists trying to learn one of R or Python or both, as well as students that are familiar with one of the languages. | ||
650 | _aPython (Computer program language) | ||
650 | _aR (Computer program language) | ||
999 |
_c39842 _d39842 |