000 | 01103nam a22003618i 4500 | ||
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001 | 023117301 | ||
003 | UkOxU | ||
005 | 20230630020011.0 | ||
008 | 220727s2022 maua b 001|0|eng|d | ||
015 |
_aGBC2D5219 _2bnb |
||
016 | 7 |
_a020700153 _2Uk |
|
020 |
_a9781098104030 (pbk.) : _cNo price |
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035 | _a(Uk)020700153 | ||
040 | _aStDuBDS | ||
082 | 0 | 4 | _a006.312 |
100 | 1 |
_aMcKinney, Wes, _eauthor. |
|
245 | 1 | 0 |
_aPython for data analysis : _bdata wrangling with Pandas, NumPy, and Jupyter / _cWes McKinney. |
250 | _aThird edition. | ||
263 | _a202209 | ||
264 | 1 |
_aCambridge : _bO'Reilly, _c2022. |
|
300 |
_a1 volume : _billustrations (black and white) ; _c24 cm |
||
336 |
_atext _2rdacontent |
||
336 |
_astill image _2rdacontent |
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337 |
_aunmediated _2rdamedia |
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338 |
_avolume _2rdacarrier |
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500 | _aPrevious edition: 2017. | ||
504 | _aIncludes bibliographical references and index. | ||
650 | 0 | _aData mining. | |
650 | 0 | _aPython (Computer program language) | |
942 |
_n0 _01 |
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999 |
_c95722 _d95722 |