|
|
|
|
| LEADER |
00000cam a22000007i 4500 |
| 001 |
13702324 |
| 006 |
m o d |
| 007 |
cr cnu---unuuu |
| 008 |
220817s2022 caua ob 001 0 eng d |
| 005 |
20260225232242.5 |
| 020 |
|
|
|z 9781098104030
|
| 020 |
|
|
|z 109810403X
|
| 035 |
|
|
|a (OCoLC)1341278534
|
| 035 |
|
9 |
|a (OCLCCM-CC)1341278534
|
| 037 |
|
|
|a 9781098104023
|b O'Reilly Media
|
| 040 |
|
|
|a ORMDA
|b eng
|e rda
|e pn
|c ORMDA
|d OCLCF
|d UKAHL
|d OCLCQ
|d SXT
|d OCLCQ
|d OCLCO
|d OCLCL
|
| 049 |
|
|
|a MAIN
|
| 050 |
|
4 |
|a QA76.73.P98
|
| 100 |
1 |
|
|a McKinney, Wes,
|e author.
|0 http://id.loc.gov/authorities/names/no2013011133
|
| 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.
|
| 650 |
|
0 |
|a Data mining.
|0 http://id.loc.gov/authorities/subjects/sh97002073
|
| 650 |
|
0 |
|a Python (Computer program language)
|0 http://id.loc.gov/authorities/subjects/sh96008834
|
| 650 |
|
6 |
|a Exploration de données (Informatique)
|
| 650 |
|
6 |
|a Python (Langage de programmation)
|
| 650 |
|
7 |
|a Data mining
|2 fast
|
| 650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
| 758 |
|
|
|i has work:
|a Python for data analysis (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGCM3MW6mGX4VYQP7gdyBd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 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://go.oreilly.com/uchicago/library/view/-/9781098104023/?ar
|y O'Reilly
|z Visitors may use O'Reilly while at the Library by requesting access at Regenstein Circulation
|
| 929 |
|
|
|a oclccm
|
| 999 |
f |
f |
|s f5533040-d804-486c-a043-e32bcb71c791
|i 8771e1ff-a7b2-4764-a67e-8302e96051a7
|
| 928 |
|
|
|t Library of Congress classification
|a QA76.73.P98
|l Online
|c UC-FullText
|n Visitors may use O'Reilly while at the Library by requesting access at Regenstein Circulation
|u https://go.oreilly.com/uchicago/library/view/-/9781098104023/?ar
|z O'Reilly
|g ebooks
|i 13845260
|
