| 000 | 01180nam a22002297a 4500 | ||
|---|---|---|---|
| 001 | sulb0078052 | ||
| 003 | BD-SySUS | ||
| 005 | 20230320141444.0 | ||
| 008 | 230320s2018 ii a b 001 0 eng | ||
| 020 |
_a9789352869169 _q(paperback) |
||
| 040 |
_aDLC _beng _erda _cDLC |
||
| 082 |
_222 _a006.312 _bCHP |
||
| 100 | 1 |
_aChen, Daniel Y, _eauthor. _960885 |
|
| 245 | 1 | 0 |
_aPandas for everyone : _bPython data analysis / _cDaniel Y Chen. |
| 264 | 1 |
_aIndia : _bPearson, _c2018. |
|
| 300 |
_axxv, 376 p. : _bill. ; _c26 cm. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 520 |
_a"Pandas for Everyone, 2nd Edition, brings together practical knowledge and insight for solving real problems with Pandas, even if youre new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world data science problems such as using regularization to prevent data overfitting, or when to use unsupervised machine learning methods to find the underlying structure in a data set"-- _cProvided by publisher. |
||
| 942 |
_2ddc _cBK |
||
| 999 |
_c84526 _d84526 |
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