Cargando…
Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter /
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Y...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
[2022]
|
| Edición: | Third edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a22000007i 4500 | ||
|---|---|---|---|
| 001 | OR_on1341278534 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 220817s2022 caua ob 001 0 eng d | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA |d OCLCF |d UKAHL |d OCLCQ |d SXT |d OCLCQ | ||
| 020 | |z 9781098104030 | ||
| 020 | |z 109810403X | ||
| 035 | |a (OCoLC)1341278534 | ||
| 037 | |a 9781098104023 |b O'Reilly Media | ||
| 050 | 4 | |a QA76.73.P98 | |
| 082 | 0 | 4 | |a 006.3/12 |2 23/eng/20220817 |
| 049 | |a UAMI | ||
| 100 | 1 | |a McKinney, Wes, |e author. | |
| 245 | 1 | 0 | |a Python for data analysis : |b data wrangling with Pandas, NumPy, and Jupyter / |c Wes McKinney. |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, Inc., |c [2022] | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. | ||
| 588 | |a Description based on print version record. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 776 | 0 | 8 | |i Print version: |a McKinney, Wes. |t Python for data analysis. |b Third edition. |d Cambridge : O'Reilly, 2022 |z 9781098104030 |w (OCoLC)1338676391 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781098104023/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH40509410 | ||
| 994 | |a 92 |b IZTAP | ||