| 000 | 01213nam a2200253 4500 | ||
|---|---|---|---|
| 001 | 639 | ||
| 003 | AR-FRRoUTN | ||
| 008 | 240815t2013 xxu|||||r|||| 001 0 spa d | ||
| 020 | _a9781449319793 | ||
| 040 |
_aUTN FRRo _beng |
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| 080 | 0 |
_a004.43 _22015 |
|
| 100 | 1 |
_aMcKinney, Wes _d1985- |
|
| 245 | 1 | 0 |
_aPython for data analysis / _cWes McKinney. |
| 260 |
_aBoston : _bO´Reilly, _c2013. |
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| 300 |
_a447 p. ; _c24 cm |
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| 336 |
_2rdacontent _atexto _btxt |
||
| 337 |
_2rdamedia _asin mediación _bn |
||
| 338 |
_2rdacarrier _avolumen _bnc |
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| 505 | 0 | _aPreface. -- 1. Preliminaries. -- 2. Introductory examples. -- 3. Python : an interactive computing and development enviroement. -- 4. NumPY basic: Arrays and vectorized computation. -- 5. Getting started with pandas. -- 6. Daa loading, storage, and file formats. -- 7. Data wrangling: clean, transforms, merge, reshape. -- 8. Plotting and visualization. -- 9. Data aggregation ans group operations. -- 10. Tme series. -- 11. Financial and economic data applications. -- 12. Advanced NumPY. -- Appendix: Python language essentials. -- Index. | |
| 650 | 1 | 4 | _aLENGUAJES DE PROGRMACIÓN |
| 650 | 1 | 4 | _aPYTHON |
| 942 |
_2udc _cBK |
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| 999 |
_c639 _d639 |
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